Data Table | | Data: | | | Inline Data | | Name: | Ecosystem responses to hurricanes L2 validated data with derived CHRIPS climate data | | Description: | Tropical cyclones play an increasingly important role in shaping ecosystems. Understanding and generalizing their responses is challenging because of meteorological variability among storms and its interaction with ecosystems. Data here represent the responses of ecosystems to hurricanes from across North America, the Caribbean and Taiwan. Data across a variety of ecosystems are represented here including wetlands, estuaries, marine, terrestrial and fresh water systems. These data measure a variety of different parameters to understand ecosystem response such as biogeochemical, hydrological and physical measurements as well as the abundance of mobile and sedentary biota.
Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is a 30+ year quasi-global rainfall dataset. CHIRPS incorporates 0.05° resolution satellite imagery with in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring.
Terms of Use
This datasets are in the public domain. To the extent possible under law, Pete Peterson has waived all copyright and related or neighboring rights to Climate Hazards Group Infrared Precipitation with Stations (CHIRPS).
Suggested citation(s)
• Funk, Chris, Pete Peterson, Martin Landsfeld, Diego Pedreros, James Verdin, Shraddhanand Shukla, Gregory Husak, James Rowland, Laura Harrison, Andrew Hoell and Joel Michaelsen. "The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes". Scientific Data 2, 150066. doi:10.1038/sdata.2015.66 2015.
| | Number of Records: | 29658 | | Number of Columns: | 24 |
|
Table Structure |
|---|
| Object Name: | HurricaneWorkshopData_L2_CHIRPS.csv | | Size: | 17285917 | | Text Format: |
| Number of Header Lines: | 1 |
| Record Delimiter: | \r\n |
| Line Delimiter: | \r\n |
| Orientation: | column |
| Simple Delimited: |
| Field Delimiter: | , |
| Quote Character: | " |
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|
Table Column Descriptions |
|---|
| | | | ID | Contributor First Name | Contributor Last Name | Variable Category | System Name | System Type | Variable | Latitude | Longitude | Event Year | Event Month | Event Day | Event | System Major | System Minor | rainBaseline_2monthAnnual_countCHIRPS | rainBaseline_2monthAnnual_maxCHIRPS | rainBaseline_2monthAnnual_sumCHIRPS | rainBaseline_2monthBeforeEvent_countCHIRPS | rainBaseline_2monthBeforeEvent_maxCHIRPS | rainBaseline_2monthBeforeEvent_sumCHIRPS | rainEvent_countCHIRPS | rainEvent_maxCHIRPS | rainEvent_sumCHIRPS |
|---|
| Column Name: | ID
| Contributor First Name
| Contributor Last Name
| Variable Category
| System Name
| System Type
| Variable
| Latitude
| Longitude
| Event Year
| Event Month
| Event Day
| Event
| System Major
| System Minor
| rainBaseline_2monthAnnual_countCHIRPS
| rainBaseline_2monthAnnual_maxCHIRPS
| rainBaseline_2monthAnnual_sumCHIRPS
| rainBaseline_2monthBeforeEvent_countCHIRPS
| rainBaseline_2monthBeforeEvent_maxCHIRPS
| rainBaseline_2monthBeforeEvent_sumCHIRPS
| rainEvent_countCHIRPS
| rainEvent_maxCHIRPS
| rainEvent_sumCHIRPS
| | Definition: | ID | Contributor First Name | Contributor Last Name | The category of the response. Classifications include biogeochemistry, hydrography, hydrology, mobile biota, sedentary biota, and phyiscal. | Name of the ecosystem where samples were collected. | The category of the ecosystems. Classifications include off-shore coastal, in-shore coastal, estuary, river, barrier island, riparian, terrestrial. | The name of the response variable. | The latitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 | The longitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 | Year the event took place | Month the event took place (numeric), e.g. if October, then enter "10" | Day (numeric) the event took place, e.g. if October 22nd, then enter "22" | Name of the event (e.g. Hurricane Maria) | Either terrestrial or aquatic | minor system type is wetland, estuarine, freshwater, marine, or terrestrial | rainBaseline_2monthAnnual_countCHIRPS | Maximum daily rainfall between 60 days before to day of event in DOY for every year in the record prior to the event year | Sum of daily rainfall from 60 days before to day of event in DOY for every year in the record prior to the event year | Number of observations between 60 days before. | Maximum daily rainfall between 60 days before to 2 days after event | Sum of daily rainfall from 60 days before event | Number of observations between 2 days before and 2 days after event | Maximum daily rainfall between 2 days before to 2 days after event | Sum of daily rainfall from 2 days before to 2 days after event | | Storage Type: | string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| float
| float
| float
| float
| float
| float
| float
| float
| float
| | Measurement Type: | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | ratio | ratio | ratio | ratio | ratio | ratio | ratio | ratio | ratio | | Measurement Values Domain: | | | Definition | Contributor First Name |
| | Definition | Contributor Last Name |
| | Definition | The category of the response. Classifications include biogeochemistry, hydrography, hydrology, mobile biota, sedentary biota, and phyiscal. |
| | Definition | Name of the ecosystem where samples were collected. |
| | Definition | The category of the ecosystems. Classifications include off-shore coastal, in-shore coastal, estuary, river, barrier island, riparian, terrestrial. |
| | Definition | The name of the response variable. |
| | Definition | The latitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 |
| | Definition | The longitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 |
| | Definition | Year the event took place |
| | Definition | Month the event took place (numeric), e.g. if October, then enter "10" |
| | Definition | Day (numeric) the event took place, e.g. if October 22nd, then enter "22" |
| | Definition | Name of the event (e.g. Hurricane Maria) |
| | Definition | Either terrestrial or aquatic |
| | Definition | minor system type is wetland, estuarine, freshwater, marine, or terrestrial |
| | Unit | count | | Precision | 1 | | Type | integer |
| | Unit | mm per day | | Precision | 0.0001 | | Type | real |
| | Unit | sum mm per day | | Precision | 0.00001 | | Type | real |
| | Unit | count | | Precision | 1 | | Type | integer |
| | Unit | count | | Precision | 1 | | Type | integer |
| | Unit | sum mm per day | | Precision | 0.00001 | | Type | real |
| | Unit | count | | Precision | 1 | | Type | integer |
| | Unit | mm per day | | Precision | 0.0001 | | Type | real |
| | Unit | sum mm per day | | Precision | 0.0001 | | Type | real |
| | Missing Value Code: | | | | | | | | | | | | | | | | | | | | | | | | | | Accuracy Report: | | | | | | | | | | | | | | | | | | | | | | | | | | Accuracy Assessment: | | | | | | | | | | | | | | | | | | | | | | | | | | Coverage: | | | | | | | | | | | | | | | | | | | | | | | | | | Methods: | | | | | | | | | | | | | | | | | | | | | | | | |
|
Data Table | | Data: | | | Inline Data | | Name: | Ecosystem responses to hurricanes L2 validated data with derived DAYMET climate data | | Description: | Tropical cyclones play an increasingly important role in shaping ecosystems. Understanding and generalizing their responses is challenging because of meteorological variability among storms and its interaction with ecosystems. Data here represent the responses of ecosystems to hurricanes from across North America, the Caribbean and Taiwan. Data across a variety of ecosystems are represented here including wetlands, estuaries, marine, terrestrial and fresh water systems. These data measure a variety of different parameters to understand ecosystem response such as biogeochemical, hydrological and physical measurements as well as the abundance of mobile and sedentary biota.
Daymet V3 provides gridded estimates of daily weather parameters for United States, Mexico, Canada, Hawaii, and Puerto Rico. It is derived from selected meteorological station data and various supporting data sources.
Terms of Use
This dataset is in the public domain and is available without restriction on use and distribution. See NASAs Earth Science Data and Information Policy for additional information.
Datasets DOI(s)
• https://doi.org/10.3334/ORNLDAAC/1328
Suggested citation(s)
• Thornton, P.E., M.M. Thornton, B.W. Mayer, Y. Wei, R. Devarakonda, R.S.Vose, and R.B. Cook. {YEAR}. Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version3. ORNL DAAC, Oak Ridge, Tennessee, USA
| | Number of Records: | 29658 | | Number of Columns: | 31 |
|
Table Structure |
|---|
| Object Name: | HurricaneWorkshopData_L2_DAYMET.csv | | Size: | 47038666 | | Text Format: |
| Number of Header Lines: | 1 |
| Record Delimiter: | \r\n |
| Line Delimiter: | \r\n |
| Orientation: | column |
| Simple Delimited: |
| Field Delimiter: | , |
| Quote Character: | " |
|
|
|
|
Table Column Descriptions |
|---|
| | | | ID | Contributor First Name | Contributor Last Name | Variable Category | System Name | System Type | Variable | Latitude | Longitude | Event Year | Event Month | Event Day | Event | System Major | System Minor | rainBaseline_2monthAnnual_countDAYMET | rainBaseline_2monthAnnual_maxDAYMET | rainBaseline_2monthAnnual_sumDAYMET | rainBaseline_2monthBeforeEvent_countDAYMET | rainBaseline_2monthBeforeEvent_maxDAYMET | rainBaseline_2monthBeforeEvent_sumDAYMET | rainEvent_countDAYMET | rainEvent_maxDAYMET | rainEvent_sumDAYMET | tempBaseline_2monthAnnual_maxDAYMET | tempBaseline_2monthAnnual_sumDAYMET | tempBaseline_2monthBeforeEvent_maxDAYMET | tempBaseline_2monthBeforeEvent_sumDAYMET | tempEvent_maxDAYMET | tempEvent_sumDAYMET | .geo |
|---|
| Column Name: | ID
| Contributor First Name
| Contributor Last Name
| Variable Category
| System Name
| System Type
| Variable
| Latitude
| Longitude
| Event Year
| Event Month
| Event Day
| Event
| System Major
| System Minor
| rainBaseline_2monthAnnual_countDAYMET
| rainBaseline_2monthAnnual_maxDAYMET
| rainBaseline_2monthAnnual_sumDAYMET
| rainBaseline_2monthBeforeEvent_countDAYMET
| rainBaseline_2monthBeforeEvent_maxDAYMET
| rainBaseline_2monthBeforeEvent_sumDAYMET
| rainEvent_countDAYMET
| rainEvent_maxDAYMET
| rainEvent_sumDAYMET
| tempBaseline_2monthAnnual_maxDAYMET
| tempBaseline_2monthAnnual_sumDAYMET
| tempBaseline_2monthBeforeEvent_maxDAYMET
| tempBaseline_2monthBeforeEvent_sumDAYMET
| tempEvent_maxDAYMET
| tempEvent_sumDAYMET
| .geo
| | Definition: | ID | Contributor First Name | Contributor Last Name | The category of the response. Classifications include biogeochemistry, hydrography, hydrology, mobile biota, sedentary biota, and phyiscal. | Name of the ecosystem where samples were collected. | The category of the ecosystems. Classifications include off-shore coastal, in-shore coastal, estuary, river, barrier island, riparian, terrestrial. | The name of the response variable. | The latitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 | The longitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 | Year the event took place | Month the event took place (numeric), e.g. if October, then enter "10" | Day (numeric) the event took place, e.g. if October 22nd, then enter "22" | Name of the event (e.g. Hurricane Maria) | Either terrestrial or aquatic | minor system type is wetland, estuarine, freshwater, marine, or terrestrial | rainBaseline_2monthAnnual_countDAYMET | Maximum daily rainfall between 60 days before to day of event in DOY for every year in the record prior to the event year | Sum of daily rainfall from 60 days before to day of event in DOY for every year in the record prior to the event year | Number of observations between 60 days before. | Maximum daily rainfall between 60 days before to 2 days after event | Sum of daily rainfall from 60 days before event | Number of observations between 2 days before and 2 days after event | Maximum daily rainfall between 2 days before to 2 days after event | Sum of daily rainfall from 2 days before to 2 days after event | Maximum daily temperature between 60 days before to day of event in DOY for every year in the record prior to the event year year | Sum of daily temperature from 60 days before to day of event in DOY for every year in the record prior to the event year | Maximum daily temperature between 60 days before to 2 days after event | Sum of daily temperature from 60 days before to 2 days before event | Maximum daily temperature between 2 days before to 2 days after event | Sum of daily temperature from 2 days before to 2 days after event | At each plot location provided, a 1000 m radial buffer (2000 m diameter) was created around the center point. The Year, Month, and Day were calculated for each data value location to determine the day-of-year (DOY) of the event. Grid cells from the various datasets (e.g., DAYMET, GRIDMET, PERSIANN, CHIRPS) were extracted and averaged using the location buffer (note that each dataset has a different spatial resolution). Average and maximum precipitation and temperatures were calculated using the various gridded datasets. The hurricane event was defined as the 2 days before through 2 days after the “event” date. A 2-month baseline period before the hurricane “event” was defined as 60 days prior to the “event” through 2 days before the event. A long-term 2-month baseline was also calculated using the 60 day period prior to the “event’s” DOY for every year preceding and including the “event” year. | | Storage Type: | string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| float
| float
| float
| float
| float
| float
| float
| float
| float
| float
| float
| float
| float
| float
| float
| string
| | Measurement Type: | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | nominal | | Measurement Values Domain: | | | Definition | Contributor First Name |
| | Definition | Contributor Last Name |
| | Definition | The category of the response. Classifications include biogeochemistry, hydrography, hydrology, mobile biota, sedentary biota, and phyiscal. |
| | Definition | Name of the ecosystem where samples were collected. |
| | Definition | The category of the ecosystems. Classifications include off-shore coastal, in-shore coastal, estuary, river, barrier island, riparian, terrestrial. |
| | Definition | The name of the response variable. |
| | Definition | The latitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 |
| | Definition | The longitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 |
| | Definition | Year the event took place |
| | Definition | Month the event took place (numeric), e.g. if October, then enter "10" |
| | Definition | Day (numeric) the event took place, e.g. if October 22nd, then enter "22" |
| | Definition | Name of the event (e.g. Hurricane Maria) |
| | Definition | Either terrestrial or aquatic |
| | Definition | minor system type is wetland, estuarine, freshwater, marine, or terrestrial |
| | Unit | count | | Precision | 1 | | Type | integer |
| | Unit | mm per day | | Precision | 0.0001 | | Type | real |
| | Unit | sum mm per day | | Precision | 0.00001 | | Type | real |
| | Unit | count | | Precision | 1 | | Type | integer |
| | Unit | count | | Precision | 1 | | Type | integer |
| | Unit | sum mm per day | | Precision | 0.00001 | | Type | real |
| | Unit | count | | Precision | 1 | | Type | integer |
| | Unit | mm per day | | Precision | 0.0001 | | Type | real |
| | Unit | sum mm per day | | Precision | 0.0001 | | Type | real |
| | Unit | mm per day | | Precision | 0.0001 | | Type | real |
| | Unit | sum mm per day | | Precision | 0.00001 | | Type | real |
| | Unit | mm per day | | Precision | 0.0001 | | Type | real |
| | Unit | sum mm per day | | Precision | 0.00001 | | Type | real |
| | Unit | mm per day | | Precision | 0.0001 | | Type | real |
| | Unit | sum mm per day | | Precision | 0.0001 | | Type | real |
| | Definition | geographic bounds around sampling point. |
| | Missing Value Code: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Accuracy Report: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Accuracy Assessment: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Coverage: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Methods: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Data Table | | Data: | | | Inline Data | | Name: | Ecosystem responses to hurricanes L2 validated data with derived GRIDMET climate data | | Description: | Tropical cyclones play an increasingly important role in shaping ecosystems. Understanding and generalizing their responses is challenging because of meteorological variability among storms and its interaction with ecosystems. Data here represent the responses of ecosystems to hurricanes from across North America, the Caribbean and Taiwan. Data across a variety of ecosystems are represented here including wetlands, estuaries, marine, terrestrial and fresh water systems. These data measure a variety of different parameters to understand ecosystem response such as biogeochemical, hydrological and physical measurements as well as the abundance of mobile and sedentary biota.
The Gridded Surface Meteorological dataset provides high spatial resolution (~4-km) daily surface fields of temperature, precipitation, winds, humidity and radiation across the contiguous United States from 1979. The dataset blends the high resolution spatial data from PRISM with the high temporal resolution data from the National Land Data Assimilation System (NLDAS) to produce spatially and temporally continuous fields that lend themselves to additional land surface modeling.
This dataset contains provisional products that are replaced with updated versions when the complete source data become available. Products can be distinguished by the value of the status property. At first, assets are ingested with status=early. After several days, they are replaced by assets with status=provisional. After about 2 months, they are replaced by the final assets with status=permanent.
Terms of Use
This work (METDATA, by John Abatzoglou) is in the public domain and is free of known copyright restrictions. Users should properly cite the source used in the creation of any reports and publications resulting from the use of this dataset and note the date when the data was acquired.
Suggested citation(s)
• Abatzoglou J. T., Development of gridded surface meteorological data for ecological applications and modelling, International Journal of Climatology. (2012) doi: https://doi.org/10.1002/joc.3413
| | Number of Records: | 29658 | | Number of Columns: | 31 |
|
Table Structure |
|---|
| Object Name: | HurricaneWorkshopData_L2_GRIDMET.csv | | Size: | 49869091 | | Text Format: |
| Number of Header Lines: | 1 |
| Record Delimiter: | \r\n |
| Line Delimiter: | \r\n |
| Orientation: | column |
| Simple Delimited: |
| Field Delimiter: | , |
| Quote Character: | " |
|
|
|
|
Table Column Descriptions |
|---|
| | | | ID | Contributor First Name | Contributor Last Name | Variable Category | System Name | System Type | Variable | Latitude | Longitude | Event Year | Event Month | Event Day | Event | System Major | System Minor | rainBaseline_2monthAnnual_countGRIDMET | rainBaseline_2monthAnnual_maxGRIDMET | rainBaseline_2monthAnnual_sumGRIDMET | rainBaseline_2monthBeforeEvent_countGRIDMET | rainBaseline_2monthBeforeEvent_maxGRIDMET | rainBaseline_2monthBeforeEvent_sumGRIDMET | rainEvent_countGRIDMET | rainEvent_maxGRIDMET | rainEvent_sumGRIDMET | tempBaseline_2monthAnnual_maxGRIDMET | tempBaseline_2monthAnnual_sumGRIDMET | tempBaseline_2monthBeforeEvent_maxGRIDMET | tempBaseline_2monthBeforeEvent_sumGRIDMET | tempEvent_maxGRIDMET | tempEvent_sumGRIDMET | .geo |
|---|
| Column Name: | ID
| Contributor First Name
| Contributor Last Name
| Variable Category
| System Name
| System Type
| Variable
| Latitude
| Longitude
| Event Year
| Event Month
| Event Day
| Event
| System Major
| System Minor
| rainBaseline_2monthAnnual_countGRIDMET
| rainBaseline_2monthAnnual_maxGRIDMET
| rainBaseline_2monthAnnual_sumGRIDMET
| rainBaseline_2monthBeforeEvent_countGRIDMET
| rainBaseline_2monthBeforeEvent_maxGRIDMET
| rainBaseline_2monthBeforeEvent_sumGRIDMET
| rainEvent_countGRIDMET
| rainEvent_maxGRIDMET
| rainEvent_sumGRIDMET
| tempBaseline_2monthAnnual_maxGRIDMET
| tempBaseline_2monthAnnual_sumGRIDMET
| tempBaseline_2monthBeforeEvent_maxGRIDMET
| tempBaseline_2monthBeforeEvent_sumGRIDMET
| tempEvent_maxGRIDMET
| tempEvent_sumGRIDMET
| .geo
| | Definition: | ID | Contributor First Name | Contributor Last Name | The category of the response. Classifications include biogeochemistry, hydrography, hydrology, mobile biota, sedentary biota, and phyiscal. | Name of the ecosystem where samples were collected. | The category of the ecosystems. Classifications include off-shore coastal, in-shore coastal, estuary, river, barrier island, riparian, terrestrial. | The name of the response variable. | The latitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 | The longitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 | Year the event took place | Month the event took place (numeric), e.g. if October, then enter "10" | Day (numeric) the event took place, e.g. if October 22nd, then enter "22" | Name of the event (e.g. Hurricane Maria) | Either terrestrial or aquatic | minor system type is wetland, estuarine, freshwater, marine, or terrestrial | rainBaseline_2monthAnnual_countGRIDMET | Maximum daily rainfall between 60 days before to day of event in DOY for every year in the record prior to the event year | Sum of daily rainfall from 60 days before to day of event in DOY for every year in the record prior to the event year | Number of observations between 60 days before. | Maximum daily rainfall between 60 days before to 2 days after event | Sum of daily rainfall from 60 days before event | Number of observations between 2 days before and 2 days after event | Maximum daily rainfall between 2 days before to 2 days after event | Sum of daily rainfall from 2 days before to 2 days after event | Maximum daily temperature between 60 days before to day of event in DOY for every year in the record prior to the event year year | Sum of daily temperature from 60 days before to day of event in DOY for every year in the record prior to the event year | Maximum daily temperature between 60 days before to 2 days after event | Sum of daily temperature from 60 days before to 2 days before event | Maximum daily temperature between 2 days before to 2 days after event | Sum of daily temperature from 2 days before to 2 days after event | At each plot location provided, a 1000 m radial buffer (2000 m diameter) was created around the center point. The Year, Month, and Day were calculated for each data value location to determine the day-of-year (DOY) of the event. Grid cells from the various datasets (e.g., DAYMET, GRIDMET, PERSIANN, CHIRPS) were extracted and averaged using the location buffer (note that each dataset has a different spatial resolution). Average and maximum precipitation and temperatures were calculated using the various gridded datasets. The hurricane event was defined as the 2 days before through 2 days after the “event” date. A 2-month baseline period before the hurricane “event” was defined as 60 days prior to the “event” through 2 days before the event. A long-term 2-month baseline was also calculated using the 60 day period prior to the “event’s” DOY for every year preceding and including the “event” year. | | Storage Type: | string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| float
| float
| float
| float
| float
| float
| float
| float
| float
| float
| float
| float
| float
| float
| float
| string
| | Measurement Type: | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | nominal | | Measurement Values Domain: | | | Definition | Contributor First Name |
| | Definition | Contributor Last Name |
| | Definition | The category of the response. Classifications include biogeochemistry, hydrography, hydrology, mobile biota, sedentary biota, and phyiscal. |
| | Definition | Name of the ecosystem where samples were collected. |
| | Definition | The category of the ecosystems. Classifications include off-shore coastal, in-shore coastal, estuary, river, barrier island, riparian, terrestrial. |
| | Definition | The name of the response variable. |
| | Definition | The latitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 |
| | Definition | The longitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 |
| | Definition | Year the event took place |
| | Definition | Month the event took place (numeric), e.g. if October, then enter "10" |
| | Definition | Day (numeric) the event took place, e.g. if October 22nd, then enter "22" |
| | Definition | Name of the event (e.g. Hurricane Maria) |
| | Definition | Either terrestrial or aquatic |
| | Definition | minor system type is wetland, estuarine, freshwater, marine, or terrestrial |
| | Unit | count | | Precision | 1 | | Type | integer |
| | Unit | mm per day | | Precision | 0.0001 | | Type | real |
| | Unit | sum mm per day | | Precision | 0.00001 | | Type | real |
| | Unit | count | | Precision | 1 | | Type | integer |
| | Unit | count | | Precision | 1 | | Type | integer |
| | Unit | sum mm per day | | Precision | 0.00001 | | Type | real |
| | Unit | count | | Precision | 1 | | Type | integer |
| | Unit | mm per day | | Precision | 0.0001 | | Type | real |
| | Unit | sum mm per day | | Precision | 0.0001 | | Type | real |
| | Unit | mm per day | | Precision | 0.0001 | | Type | real |
| | Unit | sum mm per day | | Precision | 0.00001 | | Type | real |
| | Unit | mm per day | | Precision | 0.0001 | | Type | real |
| | Unit | sum mm per day | | Precision | 0.00001 | | Type | real |
| | Unit | mm per day | | Precision | 0.0001 | | Type | real |
| | Unit | sum mm per day | | Precision | 0.0001 | | Type | real |
| | Definition | geographic bounds around sampling point. |
| | Missing Value Code: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Accuracy Report: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Accuracy Assessment: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Coverage: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Methods: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Data Table | | Data: | | | Inline Data | | Name: | Ecosystem responses to hurricanes L2 validated data with derived PERSIANN climate data | | Description: | Tropical cyclones play an increasingly important role in shaping ecosystems. Understanding and generalizing their responses is challenging because of meteorological variability among storms and its interaction with ecosystems. Data here represent the responses of ecosystems to hurricanes from across North America, the Caribbean and Taiwan. Data across a variety of ecosystems are represented here including wetlands, estuaries, marine, terrestrial and fresh water systems. These data measure a variety of different parameters to understand ecosystem response such as biogeochemical, hydrological and physical measurements as well as the abundance of mobile and sedentary biota.
PERSIANN-CDR is a daily quasi-global precipitation product that spans the period from 1983-01-01 to present. The data is produced quarterly, with a typical lag of three months. The product is developed by the Center for Hydrometeorology and Remote Sensing at the University of California, Irvine (UC-IRVINE/CHRS) using Gridded Satellite (GridSat-B1) IR data that are derived from merging ISCCP B1 IR data, along with GPCP version 2.2.
Terms of Use
This work (METDATA, by John Abatzoglou) is in the public domain and is free of known copyright restrictions. Users should properly cite the source used in the creation of any reports and publications resulting from the use of this dataset and note the date when the data was acquired.
Suggested citation(s)
• Abatzoglou J. T., Development of gridded surface meteorological data for ecological applications and modelling, International Journal of Climatology. (2012) doi: https://doi.org/10.1002/joc.3413
| | Number of Records: | 29658 | | Number of Columns: | 24 |
|
Table Structure |
|---|
| Object Name: | HurricaneWorkshopData_L2_PERSIANN.csv | | Size: | 16970096 | | Text Format: |
| Number of Header Lines: | 1 |
| Record Delimiter: | \r\n |
| Line Delimiter: | \r\n |
| Orientation: | column |
| Simple Delimited: |
| Field Delimiter: | , |
| Quote Character: | " |
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Table Column Descriptions |
|---|
| | | | ID | Contributor First Name | Contributor Last Name | Variable Category | System Name | System Type | Variable | Latitude | Longitude | Event Year | Event Month | Event Day | Event | System Major | System Minor | rainBaseline_2monthAnnual_countPERSIANN | rainBaseline_2monthAnnual_maxPERSIANN | rainBaseline_2monthAnnual_sumPERSIANN | rainBaseline_2monthBeforeEvent_countPERSIANN | rainBaseline_2monthBeforeEvent_maxPERSIANN | rainBaseline_2monthBeforeEvent_sumPERSIANN | rainEvent_countPERSIANN | rainEvent_maxPERSIANN | rainEvent_sumPERSIANN |
|---|
| Column Name: | ID
| Contributor First Name
| Contributor Last Name
| Variable Category
| System Name
| System Type
| Variable
| Latitude
| Longitude
| Event Year
| Event Month
| Event Day
| Event
| System Major
| System Minor
| rainBaseline_2monthAnnual_countPERSIANN
| rainBaseline_2monthAnnual_maxPERSIANN
| rainBaseline_2monthAnnual_sumPERSIANN
| rainBaseline_2monthBeforeEvent_countPERSIANN
| rainBaseline_2monthBeforeEvent_maxPERSIANN
| rainBaseline_2monthBeforeEvent_sumPERSIANN
| rainEvent_countPERSIANN
| rainEvent_maxPERSIANN
| rainEvent_sumPERSIANN
| | Definition: | ID | Contributor First Name | Contributor Last Name | The category of the response. Classifications include biogeochemistry, hydrography, hydrology, mobile biota, sedentary biota, and phyiscal. | Name of the ecosystem where samples were collected. | The category of the ecosystems. Classifications include off-shore coastal, in-shore coastal, estuary, river, barrier island, riparian, terrestrial. | The name of the response variable. | The latitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 | The longitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 | Year the event took place | Month the event took place (numeric), e.g. if October, then enter "10" | Day (numeric) the event took place, e.g. if October 22nd, then enter "22" | Name of the event (e.g. Hurricane Maria) | Either terrestrial or aquatic | minor system type is wetland, estuarine, freshwater, marine, or terrestrial | rainBaseline_2monthAnnual_countPERSIANN | Maximum daily rainfall between 60 days before to day of event in DOY for every year in the record prior to the event year | Sum of daily rainfall from 60 days before to day of event in DOY for every year in the record prior to the event year | Number of observations between 60 days before. | Maximum daily rainfall between 60 days before to 2 days after event | Sum of daily rainfall from 60 days before event | Number of observations between 2 days before and 2 days after event | Maximum daily rainfall between 2 days before to 2 days after event | Sum of daily rainfall from 2 days before to 2 days after event | | Storage Type: | string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| string
| float
| float
| float
| float
| float
| float
| float
| float
| float
| | Measurement Type: | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | interval | interval | interval | interval | interval | interval | interval | interval | interval | | Measurement Values Domain: | | | Definition | Contributor First Name |
| | Definition | Contributor Last Name |
| | Definition | The category of the response. Classifications include biogeochemistry, hydrography, hydrology, mobile biota, sedentary biota, and phyiscal. |
| | Definition | Name of the ecosystem where samples were collected. |
| | Definition | The category of the ecosystems. Classifications include off-shore coastal, in-shore coastal, estuary, river, barrier island, riparian, terrestrial. |
| | Definition | The name of the response variable. |
| | Definition | The latitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 |
| | Definition | The longitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 |
| | Definition | Year the event took place |
| | Definition | Month the event took place (numeric), e.g. if October, then enter "10" |
| | Definition | Day (numeric) the event took place, e.g. if October 22nd, then enter "22" |
| | Definition | Name of the event (e.g. Hurricane Maria) |
| | Definition | Either terrestrial or aquatic |
| | Definition | minor system type is wetland, estuarine, freshwater, marine, or terrestrial |
| | Unit | count | | Precision | 1 | | Type | integer |
| | Unit | mm per day | | Precision | 0.0001 | | Type | real |
| | Unit | sum mm per day | | Precision | 0.00001 | | Type | real |
| | Unit | count | | Precision | 1 | | Type | integer |
| | Unit | count | | Precision | 1 | | Type | integer |
| | Unit | sum mm per day | | Precision | 0.00001 | | Type | real |
| | Unit | count | | Precision | 1 | | Type | integer |
| | Unit | mm per day | | Precision | 0.0001 | | Type | real |
| | Unit | sum mm per day | | Precision | 0.0001 | | Type | real |
| | Missing Value Code: | | | | | | | | | | | | | | | | | | | | | | | | | | Accuracy Report: | | | | | | | | | | | | | | | | | | | | | | | | | | Accuracy Assessment: | | | | | | | | | | | | | | | | | | | | | | | | | | Coverage: | | | | | | | | | | | | | | | | | | | | | | | | | | Methods: | | | | | | | | | | | | | | | | | | | | | | | | |
|
Data Table | | Data: | | | Inline Data | | Name: | Ecosystem responses to hurricanes L2 validated data with derived Hurricane Event wind stats | | Description: | Tropical cyclones play an increasingly important role in shaping ecosystems. Understanding and generalizing their responses is challenging because of meteorological variability among storms and its interaction with ecosystems. Data here represent the responses of ecosystems to hurricanes from across North America, the Caribbean and Taiwan. Data across a variety of ecosystems are represented here including wetlands, estuaries, marine, terrestrial and fresh water systems. These data measure a variety of different parameters to understand ecosystem response such as biogeochemical, hydrological and physical measurements as well as the abundance of mobile and sedentary biota.
Storm track data are derived from NOAA's International Best Track Archive for Climate Stewardship (IBTrACS) data:
Knapp, K. R., M. C. Kruk, D. H. Levinson, H. J. Diamond, and C. J. Neumann, 2010:
The International Best Track Archive for Climate Stewardship (IBTrACS): Unifying tropical cyclone best track data.
Bulletin of the American Meteorological Society, 91, 363-376.
non-gonvernment domain doi:10.1175/2009BAMS2755.1
Knapp, K. R., H. J. Diamond, J. P. Kossin, M. C. Kruk, C. J. Schreck, 2018:
International Best Track Archive for Climate Stewardship (IBTrACS) Project, Version 4. R00. NOAA National Centers for Environmental Information. non-gonvernment domain https://doi.org/10.25921/82ty-9e16 [3-23-2020].
| | Number of Records: | 29658 | | Number of Columns: | 43 |
|
Table Structure |
|---|
| Object Name: | HurricaneWorkshopData_L2_Hurricane_Event_Stats.csv | | Size: | 16970096 | | Text Format: |
| Number of Header Lines: | 1 |
| Record Delimiter: | \r\n |
| Line Delimiter: | \r\n |
| Orientation: | column |
| Simple Delimited: |
| Field Delimiter: | , |
| Quote Character: | " |
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Table Column Descriptions |
|---|
| | | | ID | Contributor First Name | Contributor Last Name | Variable Category | System Name | System Type | Variable | Latitude | Longitude | Event Year | Event Month | Event Day | Event | System Major | System Minor | MinDistance_km | CatAtMinDist | MaxWind_knots | maxGust_knots | minPress_mbar | QuadAtClosest | QuadAtClosest | TropStormDur_hrs | Cat1Dur_hrs | Cat2Dur_hrs | Cat3Dur_hrs | Cat4Dur_hrs | Cat5Dur_hrs | EventEnergy_MJ | PrevTropStorm_YearsAgo | PrevCat1_YearsAgo | PrevCat2_YearsAgo | PrevCat3_YearsAgo | PrevCat4_YearsAgo | PrevCat5_YearsAgo | TropStormReturnPeriod_years | HurReturnPeriod_years | Cat1ReturnPeriod_years | Cat2ReturnPeriod_years | Cat3ReturnPeriod_years | Cat4ReturnPeriod_years | Cat5ReturnPeriod_years | PrevTotEnergy_MJ |
|---|
| Column Name: | ID
| Contributor First Name
| Contributor Last Name
| Variable Category
| System Name
| System Type
| Variable
| Latitude
| Longitude
| Event Year
| Event Month
| Event Day
| Event
| System Major
| System Minor
| MinDistance_km
| CatAtMinDist
| MaxWind_knots
| maxGust_knots
| minPress_mbar
| QuadAtClosest
| QuadAtClosest
| TropStormDur_hrs
| Cat1Dur_hrs
| Cat2Dur_hrs
| Cat3Dur_hrs
| Cat4Dur_hrs
| Cat5Dur_hrs
| EventEnergy_MJ
| PrevTropStorm_YearsAgo
| PrevCat1_YearsAgo
| PrevCat2_YearsAgo
| PrevCat3_YearsAgo
| PrevCat4_YearsAgo
| PrevCat5_YearsAgo
| TropStormReturnPeriod_years
| HurReturnPeriod_years
| Cat1ReturnPeriod_years
| Cat2ReturnPeriod_years
| Cat3ReturnPeriod_years
| Cat4ReturnPeriod_years
| Cat5ReturnPeriod_years
| PrevTotEnergy_MJ
| | Definition: | ID | Contributor First Name | Contributor Last Name | The category of the response. Classifications include biogeochemistry, hydrography, hydrology, mobile biota, sedentary biota, and phyiscal. | Name of the ecosystem where samples were collected. | The category of the ecosystems. Classifications include off-shore coastal, in-shore coastal, estuary, river, barrier island, riparian, terrestrial. | The name of the response variable. | The latitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 | The longitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 | Year the event took place | Month the event took place (numeric), e.g. if October, then enter "10" | Day (numeric) the event took place, e.g. if October 22nd, then enter "22" | Name of the event (e.g. Hurricane Maria) | Either terrestrial or aquatic | minor system type is wetland, estuarine, freshwater, marine, or terrestrial | The closest passing of the storm's center to the provided coordinates. | The provided category of the storm at the closest distance. This is depednent on the wind speed at the center and not on the calculates wind speed at the site. | The estimated maximum wind speed at the given coordinates, given the distance to the center of the storm and the wind speed at the center. This is computed using the specific maximum radius of wind speeds provided by the IBTrACS dataset for each quadrant (NE,SE,SW,NW) of each cetegory of each storm, when available. These variables from IBTrACS are "USA_R34_NE", "USA_R34_SE", "USA_R50_NE" etc., which are the maximum radial distances to sustained 34 and 50 knot winds in each quadrant. When the specific numbers for each storm are not available, mean values are used for similar storms of the same category and same quadrant. The wind speed follows a logarithmic relationship with distance such that PredictedWind = WindAtCenter + m*log(distance +1). The slope (m) is different for each storm category and quadrant. This predicted wind is used to calculate a number of the other variables in the dataset.
| The estimated maximum wind speed at the given coordinates, given the distance to the center of the storm and the wind speed at the center. This is computed using the specific maximum radius of wind speeds provided by the IBTrACS dataset for each quadrant (NE,SE,SW,NW) of each cetegory of each storm, when available. These variables from IBTrACS are "USA_R34_NE", "USA_R34_SE", "USA_R50_NE" etc., which are the maximum radial distances to sustained 34 and 50 knot winds in each quadrant. When the specific numbers for each storm are not available, mean values are used for similar storms of the same category and same quadrant. The wind speed follows a logarithmic relationship with distance such that PredictedWind = WindAtCenter + m*log(distance +1). The slope (m) is different for each storm category and quadrant. This predicted wind is used to calculate a number of the other variables in the dataset.
| the minimum atmospheric pressure predicted at the site. Like the wind velocity, the predicted pressure is also a function of the relationship between the distance to the center and the pressure at the center such that PredictedPressure = PressureAtCenter + m*log(distance +1). Again, the slope (m) is dependent on the storm category. These relationships are computed using variables in the IBTrACS data set (USA_PRES is the minimum sea level pressure, assumed to be at the storms center. USA_POCI is the pressure at the outermost closed isobar, or the furthest extent of the storms pressure system. USA_ROCI is the radius to the last closed isobar.
| The quadrant of the storm over the site at the minimum distance.
| The quadrant of the storm over the site at the maximum windspeed at the site.
| The duration of tropical storm force winds (>= 34 knots and < 64 knots) at the site.
| The duration of Category 1 hurricane force winds (>= 64 knots and < 83 knots) at the site.
| The duration of Category 2 hurricane force winds (>= 83 knots and < 96 knots) at the site.
| The duration of Category 3 hurricane force winds (>= 96 knots and < 114 knots) at the site.
| The duration of Category 4 hurricane force winds (>= 114 knots and < 135 knots) at the site.
| The duration of Category 5 hurricane force winds (>= 135 knots) at the site.
| The total tropical storm and hurricane wind kinetic energy at the site. This is dependent on the wind speeds, the air density, and the duration of the winds at the site as calculated by E = 0.5*A*t*p*v^3, where A is the area in m^2, t is the duration in seconds, p is the air density in kg/m^3, and v is the wind velocity in m/s. In this case, the area is constant at 1m^2. The density of the air is calculated as the a function of the pressure, the temperature, and the humidity. Because neither humidity or temperature are available, they are used as constants and the mean values from multiple tropical cyclones (https://journals.ametsoc.org/doi/pdf/10.1175/1520-0493(2000)128%3C1550%3ASOITHE%3E2.0.CO%3B2) are used as .0205 kg/kg and 297.65 K, respectively. Given these constant humidity and temperature values, along with the specific gas constant for dry air (Ra=286.9 J/kg K) and humid air (Rw = 461.5 J/kg K), the density of the air at variable pressure (in Pa) is given as Press/ (Ra*Temp))*(1 + Hum))) / (1 + Hum*(Rw / Ra)) . The density could also be taken as a constant (1.225 kg/m3 at sea level) and this would result in around a 10% difference in the calculated energy.
| The number of years since the most recent previous tropical storm.
| The number of years since the most recent category 1 storm.
| The number of years since the most recent category 2 storm.
| The number of years since the most recent category 3 storm.
| The number of years since the most recent category 4 storm.
| The number of years since the most recent category 5 storm.
| The average return period for tropical storm force winds in the previous 100 years.
| The average return period for hurricane force winds in the previous 100 years.
| The average return period for category 1 storm force winds in the previous 100 years.
| The average return period for category 2 storm force winds in the previous 100 years.
| The average return period for category 3 storm force winds in the previous 100 years.
| The average return period for category 4 storm force winds in the previous 100 years.
| The average return period for category 5 storm force winds in the previous 100 years.
| The total energy of all previous tropical storm force winds or greater at the site in the previous 100 years.
| | Storage Type: | string
| string
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| float
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| | Measurement Type: | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | interval | | Measurement Values Domain: | | | Definition | Contributor First Name |
| | Definition | Contributor Last Name |
| | Definition | The category of the response. Classifications include biogeochemistry, hydrography, hydrology, mobile biota, sedentary biota, and phyiscal. |
| | Definition | Name of the ecosystem where samples were collected. |
| | Definition | The category of the ecosystems. Classifications include off-shore coastal, in-shore coastal, estuary, river, barrier island, riparian, terrestrial. |
| | Definition | The name of the response variable. |
| | Definition | The latitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 |
| | Definition | The longitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 |
| | Definition | Year the event took place |
| | Definition | Month the event took place (numeric), e.g. if October, then enter "10" |
| | Definition | Day (numeric) the event took place, e.g. if October 22nd, then enter "22" |
| | Definition | Name of the event (e.g. Hurricane Maria) |
| | Definition | Either terrestrial or aquatic |
| | Definition | minor system type is wetland, estuarine, freshwater, marine, or terrestrial |
| | Unit | km | | Precision | 0.0001 | | Type | real |
| | Unit | Saffir-Simpson Category | | Precision | 0.0001 | | Type | real |
| | Unit | knots | | Precision | 0.0001 | | Type | real |
| | Unit | knots | | Precision | 0.0001 | | Type | real |
| | Unit | mili bar | | Precision | 0.0001 | | Type | real |
| | Unit | Cardinal Directions | | Precision | 0.0001 | | Type | real |
| | Unit | Cardinal Directions | | Precision | 0.0001 | | Type | real |
| | Unit | hours | | Precision | 0.01 | | Type | real |
| | Unit | hours | | Precision | 0.01 | | Type | real |
| | Unit | hours | | Precision | 0.01 | | Type | real |
| | Unit | hours | | Precision | 0.01 | | Type | real |
| | Unit | hours | | Precision | 0.01 | | Type | real |
| | Unit | hours | | Precision | 0.01 | | Type | real |
| | Unit | Mega Joules | | Precision | 0.0001 | | Type | real |
| | Unit | years | | Precision | 0.0001 | | Type | real |
| | Unit | years | | Precision | 0.0001 | | Type | real |
| | Unit | years | | Precision | 0.0001 | | Type | real |
| | Unit | years | | Precision | 0.0001 | | Type | real |
| | Unit | years | | Precision | 0.0001 | | Type | real |
| | Unit | years | | Precision | 0.0001 | | Type | real |
| | Unit | years | | Precision | 0.0001 | | Type | real |
| | Unit | years | | Precision | 0.0001 | | Type | real |
| | Unit | years | | Precision | 0.0001 | | Type | real |
| | Unit | years | | Precision | 0.0001 | | Type | real |
| | Unit | years | | Precision | 0.0001 | | Type | real |
| | Unit | years | | Precision | 0.0001 | | Type | real |
| | Unit | years | | Precision | 0.0001 | | Type | real |
| | Unit | Mega Joules | | Precision | 0.0001 | | Type | real |
| | Missing Value Code: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Accuracy Report: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Accuracy Assessment: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Coverage: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Methods: | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
|
Data Table | | Data: | | | Inline Data | | Name: | Ecosystem responses to hurricanes L0 validated data | | Description: | Tropical cyclones play an increasingly important role in shaping ecosystems. Understanding and generalizing their responses is challenging because of meteorological variability among storms and its interaction with ecosystems. Data here represent the responses of ecosystems to hurricanes from across North America, the Caribbean and Taiwan. Data across a variety of ecosystems are represented here including wetlands, estuaries, marine, terrestrial and fresh water systems. These data measure a variety of different parameters to understand ecosystem response such as biogeochemical, hydrological and physical measurements as well as the abundance of mobile and sedentary biota. | | Number of Records: | 29658 | | Number of Columns: | 43 |
|
Table Structure |
|---|
| Object Name: | HurricaneWorkshopData_L0.csv | | Size: | 13388836 | | Text Format: |
| Number of Header Lines: | 1 |
| Record Delimiter: | \r\n |
| Line Delimiter: | \r\n |
| Orientation: | column |
| Simple Delimited: |
| Field Delimiter: | , |
| Quote Character: | " |
|
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Table Column Descriptions |
|---|
| | | | ID | Contributor First Name | Contributor Last Name | Source of Funding | Award Number (if applicable) | Variable Category | System Name | System Type | Variable | Units | Latitude | Longitude | Event Year | Event Month | Event Day | Event | Pre-Storm Sampling Interval (Days) | Post-Storm Sampling Interval (Days) | Pre-Storm Sampling Series Length (Days) | Post-Storm Sampling Series Length (Days) | Max/Min Value Post-Hurricane | SD Max/Min (NaN if no replication) | Baseline Value | SD Baseline Value (NaN if no replication) | Observed Change | Proportional Change % | Return Time (Days) | Adjusted Return Time (Days) | LogResponseRatio | Long-Term Average Max/Min (NaN if none available) | Long-Term SD Max/Min - (NaN if none available or no replication) | Historic Period Length (years) - NaN if none available | Historical Observed Change | Historical Proportional Change % | Historical LogResponseRatio | Notes | Notes 2 | System Major | System Minor | absolute proportional change | Variable Sub-Category | Response Sign | LRR ratio as magnitude with sign added |
|---|
| Column Name: | ID
| Contributor First Name
| Contributor Last Name
| Source of Funding
| Award Number (if applicable)
| Variable Category
| System Name
| System Type
| Variable
| Units
| Latitude
| Longitude
| Event Year
| Event Month
| Event Day
| Event
| Pre-Storm Sampling Interval (Days)
| Post-Storm Sampling Interval (Days)
| Pre-Storm Sampling Series Length (Days)
| Post-Storm Sampling Series Length (Days)
| Max/Min Value Post-Hurricane
| SD Max/Min (NaN if no replication)
| Baseline Value
| SD Baseline Value (NaN if no replication)
| Observed Change
| Proportional Change %
| Return Time (Days)
| Adjusted Return Time (Days)
| LogResponseRatio
| Long-Term Average Max/Min (NaN if none available)
| Long-Term SD Max/Min - (NaN if none available or no replication)
| Historic Period Length (years) - NaN if none available
| Historical Observed Change
| Historical Proportional Change %
| Historical LogResponseRatio
| Notes
| Notes 2
| System Major
| System Minor
| absolute proportional change
| Variable Sub-Category
| Response Sign
| LRR ratio as magnitude with sign added
| | Definition: | ID | Contributor First Name | Contributor Last Name | Source of Funding | Award Number (if applicable) | The category of the response. Classifications include biogeochemistry, hydrography, hydrology, mobile biota, sedentary biota, and phyiscal. | Name of the ecosystem where samples were collected. | The category of the ecosystems. Classifications include off-shore coastal, in-shore coastal, estuary, river, barrier island, riparian, terrestrial. | The name of the response variable. | The units of the response variable (if applicable). | The latitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 | The longitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 | Year the event took place | Month the event took place (numeric), e.g. if October, then enter "10" | Day (numeric) the event took place, e.g. if October 22nd, then enter "22" | Name of the event (e.g. Hurricane Maria) | Sampling frequency for pre-storm data collection. If high frequency, e.g. 15 minute, then use fractional values such as 0.01041 | Sampling frequency for post-storm data collection. If high frequency, e.g. 15 minute, then use fractional values such as 0.01041 | Sampling period for pre-storm data collection. E.g. if 6 months of pre-storm data then report 180 days | Sampling period for post-storm data collection. E.g. if 12 months of post-storm data then report 365 days | The minimum or maximum value of the response variable after the hurricane. In the case of multiple peaks and valleys following the storm (no clear trend), the first peak or valley post storm was used (immediate response). | If the minimum or maximum response was calculated from replicate samples, the standard deviation of those samples is reported here. | The value of the response variable before the event. In the case of daily or weekly data, the mean value for month immediately before the event should be used account for natural variation. | The standard deviation of the baseline value. In the case of temporal data, this is the standard devation for the month,week, etc for the period preceding the event (whichever is most appropriate or available). In the case of spatially replicated data taken before the storm this is the standard deviation of the replicates. | The difference between the post-storm max/min and pre-storm baseline. | The difference between the post-storm max/min and pre-storm baseline divided by the pre-storm baseline. | The number of days post storm for values to return the baseline. | In the case of variables that had not returned to baseline at end of sampling, assign the maximum post-event observation period in days. If return to baseline has been observed, then simply re-enter the value in the adjacent "Return Time (Days)" cell | The natural log of the min/max post hurricane value divided by the baseline value. | The average value of the response variable, historically, at the time of year of first post storm sampling. For example, if monthly data was used to estimate the change in response between August 2017 (pre-storm for Hurricane Harvey) and September 2017 (post-storm for Hurricane Harvey), then this cell would contain the average value for September based on historical data. | The standard deviation of the response variable, historically, at the time of year of first post storm sampling. For example, if monthly data was used to estimate the change in response between August 2017 (pre-storm for Hurricane Harvey) and September 2017 (post-storm for Hurricane Harvey), then this cell would contain the average value for September based on historical data. | Number of years of data used to calculate the long term average values | Typical change in response variable between the time of year when the storm occurred and the time of year when first post storm sampling occurred | Typical percent change in response variable between the time of year when the storm occurred and the time of year when first post storm sampling occurred | The natural log of the long-term average min/max value divided by the baseline value. | Any notes about the data set or values entered that the investigator believe are important. These may include caveates or concerns about estimate precision, moving baseline, etc, etc | additional notes field | Either terrestrial or aquatic | minor system type is wetland, estuarine, freshwater, marine, or terrestrial | absolute value of % proportional change, then a scalar value of 1 was added to force all values to be >= 1 | Variable Sub-Category | Sign of % proportional change 1 if positive, -1 if negative | Log response ratio as a magnitude with sign added (for ease of interpretation) | | Storage Type: | string
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| | Measurement Type: | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | nominal | ratio | ratio | | Measurement Values Domain: | | | Definition | Contributor First Name |
| | Definition | Contributor Last Name |
| | Definition | Source of Funding |
| | Definition | Award Number (if applicable) |
| | Definition | The category of the response. Classifications include biogeochemistry, hydrography, hydrology, mobile biota, sedentary biota, and phyiscal. |
| | Definition | Name of the ecosystem where samples were collected. |
| | Definition | The category of the ecosystems. Classifications include off-shore coastal, in-shore coastal, estuary, river, barrier island, riparian, terrestrial. |
| | Definition | The name of the response variable. |
| | Definition | The units of the response variable (if applicable). |
| | Definition | The latitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 |
| | Definition | The longitude of the data collection in the case of repeated fixed station sampling. Use a central spatial location if values were aggregated from randomly selected sampling locations within an ecosystem (e.g. embayment) whose precise location changed through time. Format is Signed Degrees Format (DDD.dddd), e.g. -120.9762 |
| | Definition | Year the event took place |
| | Definition | Month the event took place (numeric), e.g. if October, then enter "10" |
| | Definition | Day (numeric) the event took place, e.g. if October 22nd, then enter "22" |
| | Definition | Name of the event (e.g. Hurricane Maria) |
| | Definition | Sampling frequency for pre-storm data collection. If high frequency, e.g. 15 minute, then use fractional values such as 0.01041 |
| | Definition | Sampling frequency for post-storm data collection. If high frequency, e.g. 15 minute, then use fractional values such as 0.01041 |
| | Definition | Sampling period for pre-storm data collection. E.g. if 6 months of pre-storm data then report 180 days |
| | Definition | Sampling period for post-storm data collection. E.g. if 12 months of post-storm data then report 365 days |
| | Definition | The minimum or maximum value of the response variable after the hurricane. In the case of multiple peaks and valleys following the storm (no clear trend), the first peak or valley post storm was used (immediate response). |
| | Definition | If the minimum or maximum response was calculated from replicate samples, the standard deviation of those samples is reported here. |
| | Definition | The value of the response variable before the event. In the case of daily or weekly data, the mean value for month immediately before the event should be used account for natural variation. |
| | Definition | The standard deviation of the baseline value. In the case of temporal data, this is the standard devation for the month,week, etc for the period preceding the event (whichever is most appropriate or available). In the case of spatially replicated data taken before the storm this is the standard deviation of the replicates. |
| | Definition | The difference between the post-storm max/min and pre-storm baseline. |
| | Definition | The difference between the post-storm max/min and pre-storm baseline divided by the pre-storm baseline. |
| | Definition | The number of days post storm for values to return the baseline. |
| | Definition | In the case of variables that had not returned to baseline at end of sampling, assign the maximum post-event observation period in days. If return to baseline has been observed, then simply re-enter the value in the adjacent "Return Time (Days)" cell |
| | Definition | The natural log of the min/max post hurricane value divided by the baseline value. |
| | Definition | The average value of the response variable, historically, at the time of year of first post storm sampling. For example, if monthly data was used to estimate the change in response between August 2017 (pre-storm for Hurricane Harvey) and September 2017 (post-storm for Hurricane Harvey), then this cell would contain the average value for September based on historical data. |
| | Definition | The standard deviation of the response variable, historically, at the time of year of first post storm sampling. For example, if monthly data was used to estimate the change in response between August 2017 (pre-storm for Hurricane Harvey) and September 2017 (post-storm for Hurricane Harvey), then this cell would contain the average value for September based on historical data. |
| | Definition | Number of years of data used to calculate the long term average values |
| | Definition | Typical change in response variable between the time of year when the storm occurred and the time of year when first post storm sampling occurred |
| | Definition | Typical percent change in response variable between the time of year when the storm occurred and the time of year when first post storm sampling occurred |
| | Definition | The natural log of the long-term average min/max value divided by the baseline value. |
| | Definition | Any notes about the data set or values entered that the investigator believe are important. These may include caveates or concerns about estimate precision, moving baseline, etc, etc |
| | Definition | additional notes field |
| | Definition | Either terrestrial or aquatic |
| | Definition | minor system type is wetland, estuarine, freshwater, marine, or terrestrial |
| | Definition | absolute value of % proportional change, then a scalar value of 1 was added to force all values to be >= 1 |
| | Definition | Variable Sub-Category |
| | Unit | Sign of % proportional change 1 if positive, -1 if negative | | Precision | 1 | | Type | integer |
| | Unit | Log response ratio as a magnitude with sign added (for ease of interpretation) | | Precision | 0.00001 | | Type | real |
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