Data Package Metadata View Summary

Annual summer single-day measurements of the thermal environment with a bio-meteorological sensor under trees, shade structures, and sun-exposed areas in the Rio Salado Park in Tempe, AZ, USA

General Information

Data Package:

Local Identifier:

knb-lter-cap.698.2

Title:

Annual summer single-day measurements of the thermal environment with a bio-meteorological sensor under trees, shade structures, and sun-exposed areas in the Rio Salado Park in Tempe, AZ, USA

Alternate Identifier:

DOI PLACE HOLDER

Abstract:

We have measured the thermal environment/bio-meteorological conditions under trees, shade structures, and at sun-exposed locations in the Rio Salado Park in Tempe, AZ, USA annually since 2018 on a clear sky, hot, sunny day in June/July to track shade performance of newly planted trees over time. Measurements were taken with a mobile bio-meteorological weather station, known as MaRTy (Middel & Krayenhoff, 2019; DOI: 10.1016/j.scitotenv.2019.06.085). Since the measurement campaign began, some of the trees have died, were removed, or their environment has changed due to external events such as a bridge collapse (2020-07-29).

Publication Date:

2022-03-22

Language:

english

For more information:
Visit:	https://sustainability.asu.edu/caplter/data/data-catalog/view/knb-lter-cap.698.1/xml/
Visit:	DOI PLACE HOLDER

Time Period

Begin:

2018-06-22

End:

2021-07-08

People and Organizations
Contact:	Information Manager (Central Arizona–Phoenix LTER) [ email ]
Creator:	Schneider, Florian A (Arizona State University)
Creator:	Middel, Ariane (Arizona State University)
Creator:	Hondula, David (Arizona State University)
Creator:	Vanos, Jennifer (Arizona State University)
Creator:	Wright, Mary (Arizona State University)
Creator:	McWest, Lolya (Arizona State University)
Creator:	Broadbent, Ashley Mark (National Institute of Water and Atmospheric Research (NIWA) )
Creator:	Meltzer, Samuel (Arizona State University)
Creator:	Labato, Jianni (Arizona State University)

Data Entities
Data Table Name:	698_rio_salado_bioclimate.csv
Description:	Location-based bio-meteorological measurements from MaRTy at the Rio Salado Park in Tempe, Arizona, USA, partially processed to allow comparison between measurement locations

Detailed Metadata

Data Entities

Data Table

Data:

https://pasta-s.lternet.edu/package/data/eml/knb-lter-cap/698/2/14dd873c21a804e14f4551223a8b0e54

Name:

698_rio_salado_bioclimate.csv

Description:

Location-based bio-meteorological measurements from MaRTy at the Rio Salado Park in Tempe, Arizona, USA, partially processed to allow comparison between measurement locations

Number of Records:

438

Number of Columns:

Time Period

Begin:

2018-06-22

End:

2021-07-07

Table Structure

Object Name:

698_rio_salado_bioclimate.csv

Size:

96682 bytes

Authentication:

5fa228fc9850f9aeb78ae09fa6282e22 Calculated By MD5

Text Format:

Number of Header Lines:

Record Delimiter:

\r\n

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

Column Name:

date_time

DetrendedTime

Site

Shade

ShadeType

Shade_real

SurfaceCover

Latitude

Longitude

Altitude_m

WindSpeed_ms

WindDir_deg

Tair_C_detrended

Tair_C

RH_percent

Tsfc_C

MRT_C_detrended

MRT_C

SR_left_Wm2

SR_right_Wm2

SR_front_Wm2

SR_back_Wm2

SR_up_Wm2

SR_down_Wm2

IR_left_Wm2

IR_right_Wm2

IR_front_Wm2

IR_back_Wm2

IR_up_Wm2

IR_down_Wm2

Definition:

date and time of observation

Time to which all measurements of a transect hour were detrended using a linear detrending factor based on air temperature changes at a reference location

location ID

General shade or sun-exposure definition of location

Type of object shading

Shade or sun-exposure of location at time of measurement

Type of surface at location at which the downward facing sensors are looking

Observation latitude measured with GPS16X Garmin GPS (height: 1.5m; accuracy: less than 3m; reacquisition time: less than 2s)

Observation longitude measured with GPS16X Garmin GPS (height: 1.5m; accuracy: less than 3m; reacquisition time: less than 2s)

Observation altitude above sea level measured with GPS16X Garmin GPS (height: 1.5m; accuracy: less than 3m; reacquisition time: less than 2s)

Wind speed measured with Gill 2D WindSonic (height: 1.7 m; range: 0 to 60 m/s; accuracy +/- 2% at 12 m/s; response time: 0.25 seconds)

Wind direction measured with Gill 2D WindSonic (height: 1.7 m; range: 0 to 60 m/s; accuracy +/- 2% at 12 m/s; response time: 0.25 seconds)

Linearly detrended air temperature derived from Tair_C by subtracting the linear trend from the observed values

Air temperature without detrending measured by Campbell Scientific EE181 Temperature and Relative Humidity Probe (height: 1.5 m; range: -40 to 60 C; accuracy: +/- 0.2 C at 23 C; sensor time constant [63% step change (1 m/s air flow at sensor)] is <= 22 s)

relative humidity measured by Campbell Scientific EE181 Temperature and Relative Humidity Probe (Height: 1.5 m; Range: 0 to 100%; Accuracy: (1.4 + 0.01 * RH reading) % RH; Sensor Time Constant [63% of a 35 to 80% RH step change (1 m/s air flow at sensor)] Standard PE Filter: ≤22 s)

Surface temperature derived from the infrared radiation measurement of the downward facing pyrgeometer (IR_down_Wm2)

Linearly detrended mean radiant temperature detrended from MRT_C by subtracting the linear trend from the observed values

Mean radiant temperature without detrending derived value from 3-dimensional solar and infrared radiation observations (Thorsson et al. 2007; https://doi.org/10.1002/joc.1537)

solar radiation from the left measured by Hukseflux NR01 Four-Component Net Radiation Sensor (height: 1.1 to 1.3 m; Range: 0 to 2000 W/m2; Accuracy: +/-10%; Response time: 18 s)

solar radiation from the right measured by Hukseflux NR01 Four-Component Net Radiation Sensor (height: 1.1 to 1.3 m; Range: 0 to 2000 W/m2; Accuracy: +/-10%; Response time: 18 s)

solar radiation from the front measured by Hukseflux NR01 Four-Component Net Radiation Sensor (height: 1.1 to 1.3 m; Range: 0 to 2000 W/m2; Accuracy: +/-10%; Response time: 18 s)

solar radiation from the back measured by Hukseflux NR01 Four-Component Net Radiation Sensor (height: 1.1 to 1.3 m; Range: 0 to 2000 W/m2; Accuracy: +/-10%; Response time: 18 s)

solar radiation from above measured by Hukseflux NR01 Four-Component Net Radiation Sensor (height: 1.1 to 1.3 m; Range: 0 to 2000 W/m2; Accuracy: +/-10%; Response time: 18 s)

solar radiation from below measured by Hukseflux NR01 Four-Component Net Radiation Sensor (height: 1.1 to 1.3 m; Range: 0 to 2000 W/m2; Accuracy: +/-10%; Response time: 18 s)

Infrared radiation from the left measured by Hukseflux NR01 Four-Component Net Radiation Sensor and corrected for internal temperature (height: 1.1 to 1.3 m; Range: 0 to 1000 W/m2; Accuracy: +/-10%; Response time: 18 s)

Infrared radiation from the right measured by Hukseflux NR01 Four-Component Net Radiation Sensor and corrected for internal temperature (height: 1.1 to 1.3 m; Range: 0 to 1000 W/m2; Accuracy: +/-10%; Response time: 18 s)

Infrared radiation from the front measured by Hukseflux NR01 Four-Component Net Radiation Sensor and corrected for internal temperature (height: 1.1 to 1.3 m; Range: 0 to 1000 W/m2; Accuracy: +/-10%; Response time: 18 s)

Infrared radiation from the back measured by Hukseflux NR01 Four-Component Net Radiation Sensor and corrected for internal temperature (height: 1.1 to 1.3 m; Range: 0 to 1000 W/m2; Accuracy: +/-10%; Response time: 18 s)

Infrared radiation from above measured by Hukseflux NR01 Four-Component Net Radiation Sensor and corrected for internal temperature (height: 1.1 to 1.3 m; Range: 0 to 1000 W/m2; Accuracy: +/-10%; Response time: 18 s)

Infrared radiation from below measured by Hukseflux NR01 Four-Component Net Radiation Sensor and corrected for internal temperature (height: 1.1 to 1.3 m; Range: 0 to 1000 W/m2; Accuracy: +/-10%; Response time: 18 s)

Storage Type:

date

string

float

Measurement Type:

dateTime

nominal

ratio

Measurement Values Domain:

Format	YYYY-MM-DD hh:mm:ss
Precision

Format	hh:mm:ss
Precision

Definition

location ID

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	0
Definition	sun-exposure
Source

Code Definition

Code	1
Definition	shade
Source

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	bridge
Definition	bridge
Source

Code Definition

Code	exposed
Definition	exposed
Source

Code Definition

Code	gazebo
Definition	gazebo
Source

Code Definition

Code	overhang
Definition	overhang
Source

Code Definition

Code	tree
Definition	tree
Source

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	0
Definition	sun-exposure
Source

Code Definition

Code	1
Definition	shade
Source

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	Concrete
Definition	Concrete
Source

Code Definition

Code	Grass
Definition	Grass
Source

Code Definition

Code	Soil
Definition	Soil
Source

Unit	degree
Type	real
Min	33.4314202
Max	33.4323234

Unit	degree
Type	real
Min	-111.9487735
Max	-111.9433104

Unit	meter
Type	real
Min	289.19
Max	380.74

Unit	meterPerSecond
Type	real
Min	0.06
Max	5.71

Unit	degree
Type	real
Min	14.17
Max	347.03

Unit	celsius
Type	real
Min	33.28
Max	42.82

Unit	celsius
Type	real
Min	32.55
Max	42.96

Unit	percent
Type	real
Min	6.58
Max	29.27

Unit	celsius
Type	real
Min	26.2
Max	63.11

Unit	celsius
Type	real
Min	31.49
Max	74.92

Unit	celsius
Type	real
Min	32.7
Max	74.83

Unit	wattPerMeterSquared
Type	real
Min	-13.39
Max	834.53

Unit	wattPerMeterSquared
Type	real
Min	-13.17
Max	927.41

Unit	wattPerMeterSquared
Type	real
Min	-17.14
Max	900.13

Unit	wattPerMeterSquared
Type	real
Min	-11.12
Max	796.19

Unit	wattPerMeterSquared
Type	real
Min	-16.1
Max	1246.1

Unit	wattPerMeterSquared
Type	real
Min	-17.59
Max	275.32

Unit	wattPerMeterSquared
Type	real
Min	434.39
Max	606.93

Unit	wattPerMeterSquared
Type	real
Min	455.28
Max	611.18

Unit	wattPerMeterSquared
Type	real
Min	444.16
Max	605.38

Unit	wattPerMeterSquared
Type	real
Min	448.8
Max	613.21

Unit	wattPerMeterSquared
Type	real
Min	370.05
Max	552.05

Unit	wattPerMeterSquared
Type	real
Min	455.29
Max	724.95

Missing Value Code:

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Package Usage Rights

This data package is released to the "public domain" under Creative Commons CC0 1.0 "No Rights Reserved" (see: https://creativecommons.org/publicdomain/zero/1.0/). The consumer of these data ("Data User" herein) has an ethical obligation to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or coauthorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is". The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.

Keywords

By Thesaurus:
LTER controlled vocabulary	urban, trees
LTER core areas	land use and land cover change, human-environment interactions, climate and heat
Creator Defined Keyword Set	radiant, shade, urban climate, human-biometeorological cart, biometeorology
CAPLTER Keyword Set List	cap lter, cap, caplter, central arizona phoenix long term ecological research, arizona, az, arid land, marty

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package

Description:

We measured the shade performance of trees that were planted in 2017 in the Rio Salado Park by conducting stop-and-go traverses with the mobile weather station, MaRTy (Middel & Krayenhoff, 2019). MaRTy is equipped with multiple sensors to simultaneously measure all physical variables relevant to the thermal environment: air temperature, humidity, wind speed, and radiant energy flux densities at two-second intervals, while tracking location. For detailed information about each sensor used, refer to the attribute metadata table or Middel & Krayenhoff, 2019. Mean radiant temperature (Tmrt) is calculated using the observations from three net radiometers that are positioned to capture shortwave and longwave radiation from all four cardinal directions, as well as above and below, accounting for the angular factors of a human body, but assuming default clothing characteristics (Thorsson et al., 2007). Each measurement at a given location of interest took 1-minute to minimize sensor lag and measure constant conditions over 30-45 seconds. All locations of interest were measured within one hour. That allows to use a linear detrending process that corrects air and mean radiant temperature based on air temperature changes within the hour at a given reference location. Location-based detrended results are more comparable and consider the temporal changes in air temperature (warming/cooling/stagnant) across the area within the transect hour. - Middel A, Krayenhoff ES. Micrometeorological determinants of pedestrian thermal exposure during record-breaking heat in Tempe, Arizona: Introducing the MaRTy observational platform. Sci Total Environ. 2019 Oct 15;687:137-151. doi: 10.1016/j.scitotenv.2019.06.085. Epub 2019 Jun 7. PMID: 31207504. - Thorsson, S., Lindberg, F., Eliasson, I., & Holmer, B. (2007). Different methods for estimating the mean radiant temperature in an outdoor urban setting. International Journal of Climatology, 27(14), 1983–1993. https://doi.org/10.1002/joc.1537

People and Organizations

Publishers:

Organization:

Environmental Data Initiative

Email Address:

info@environmentaldatainitiative.org

Web Address:

https://environmentaldatainitiative.org

Id:

https://ror.org/0330j0z60

Creators:

Individual:

Florian A Schneider

Organization:

Arizona State University

Email Address:

Florian.Schneider@asu.edu

Id:

https://orcid.org/0000-0003-4250-5720

Individual:

Ariane Middel

Organization:

Arizona State University

Email Address:

Ariane.Middel@asu.edu

Id:

https://orcid.org/0000-0002-1565-095X

Individual:

David Hondula

Organization:

Arizona State University

Email Address:

david.hondula@asu.edu

Id:

https://orcid.org/0000-0003-2465-2671

Individual:

Jennifer Vanos

Organization:

Arizona State University

Email Address:

jvanos@asu.edu

Id:

https://orcid.org/0000-0003-1854-9096

Individual:

Mary Wright

Organization:

Arizona State University

Email Address:

Mary.K.Wright@asu.edu

Id:

https://orcid.org/0000-0002-5931-0260

Individual:

Lolya McWest

Organization:

Arizona State University

Email Address:

lmcwest@asu.edu

Individual:

Ashley Mark Broadbent

Organization:

National Institute of Water and Atmospheric Research (NIWA)

Email Address:

ashley.broadbent@niwa.co.nz

Id:

https://orcid.org/0000-0003-1906-8112

Individual:

Samuel Meltzer

Organization:

Arizona State University

Email Address:

samuel.meltzer@asu.edu

Individual:

Jianni Labato

Organization:

Arizona State University

Email Address:

jlabato@asu.edu

Contacts:

Organization:

Central Arizona–Phoenix LTER

Position:

Information Manager

Address:

Arizona State University,

Global Institute of Sustainability and Innovation,

Tempe, AZ 85287-5402 USA

Email Address:

caplter.data@asu.edu

Web Address:

https://sustainability-innovation.asu.edu/caplter/

Metadata Providers:

Individual:

Florian A Schneider

Organization:

Arizona State University

Email Address:

Florian.Schneider@asu.edu

Id:

https://orcid.org/0000-0003-4250-5720

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period

Begin:

2018-06-22

End:

2021-07-08

Geographic Region:

Description:

Rio Salado Park in Tempe, Arizona, USA - part of the CAP LTER study area

Bounding Coordinates:

Northern:	33.4323	Southern:	33.4314
Western:	-111.9488	Eastern:	-111.9433

Temporal, Geographic and/or Taxonomic information that applies to Data Table: 698_rio_salado_bioclimate.csv

Time Period

Begin:

2018-06-22

End:

2021-07-07

Project

Parent Project Information:

Title:

Central Arizona–Phoenix Long-Term Ecological Research Project

Personnel:

Individual:

Daniel Childers

Organization:

Arizona State University

Email Address:

dan.childers@asu.edu

Id:

https://orcid.org/0000-0003-3904-0803

Role:

Principal Investigator

Individual:

Nancy Grimm

Organization:

Arizona State University

Email Address:

nbgrimm@asu.edu

Id:

https://orcid.org/0000-0001-9374-660X

Role:

Co-principal Investigator

Individual:

Sharon Hall

Organization:

Arizona State University

Email Address:

sharonjhall@asu.edu

Id:

https://orcid.org/0000-0002-8859-6691

Role:

Co-principal Investigator

Individual:

Billie Turner II

Organization:

Arizona State University

Email Address:

Billie.L.Turner@asu.edu

Id:

https://orcid.org/0000-0002-6507-521X

Role:

Co-principal Investigator

Individual:

Abigail York

Organization:

Arizona State University

Email Address:

Abigail.York@asu.edu

Id:

https://orcid.org/0000-0002-2313-9262

Role:

Co-principal Investigator

Abstract:

Phase IV of the Central Arizona-Phoenix LTER (CAP) continues to focus on the question: How do the ecosystem services provided by urban ecological infrastructure (UEI) affect human outcomes and behavior, and how do human actions affect patterns of urban ecosystem structure and function and, ultimately, urban sustainability and resilience? The overarching goal is to foster social-ecological urban research aimed at understanding these complex systems using a holistic, ecology of cities perspective while contributing to an ecology for cities that enhances urban sustainability and resilience. This goal is being met through four broad programmatic objectives: (1) use long-term observations and datasets to articulate and answer new questions requiring a long-term perspective; (2) develop and use predictive models and future-looking scenarios to help answer research questions; (3) employ existing urban ecological theory while articulating new theory; and (4) build transdisciplinary partnerships to foster resilience and enhance sustainability in urban ecosystems while educating urban dwellers of all ages and experiences. CAP IV research is organized around eight interdisciplinary questions and ten long-term datasets and experiments, and researchers are organized into eight Interdisciplinary Research Themes to pursue these long-term research questions.

Funding:

NSF Awards: CAP I: DEB-9714833, CAP II: DEB-0423704, CAP III: DEB-1026865, CAP IV: DEB-1832016

Additional Award Information:

Funder:

National Science Foundation

Funder ID:

https://ror.org/021nxhr62

Number:

1832016

Title:

LTER: CAP IV - Investigating urban ecology and sustainability through the lens of Urban Ecological Infrastructure

URL:

https://nsf.gov/awardsearch/showAward?AWD_ID=1832016&HistoricalAwards=false

Maintenance

Maintenance:

Description:	this dataset is complete and or updates are not anticipated
Frequency:	notPlanned

Other Metadata

Copyright 2024 Environmental Data Initiative. This material is based upon work supported by the National Science Foundation under grants #2223103 and #2223104. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Please contact us with questions, comments, or for technical assistance regarding this web site or the Environmental Data Initiative. Please read our privacy policy to know what information we collect about you and to understand your privacy rights.

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

Data Package Metadata View Summary

Annual summer single-day measurements of the thermal environment with a bio-meteorological sensor under trees, shade structures, and sun-exposed areas in the Rio Salado Park in Tempe, AZ, USA

Data Entities

Data Table

Data Package Usage Rights

Keywords

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

People and Organizations

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to Data Table: 698_rio_salado_bioclimate.csv

Project

Parent Project Information:

Maintenance

Recently Added

Recently Updated

Data Package Metadata View Summary

Annual summer single-day measurements of the thermal environment with a bio-meteorological sensor under trees, shade structures, and sun-exposed areas in the Rio Salado Park in Tempe, AZ, USA

+/- Data Entities

Data Table

+/- Data Package Usage Rights

+/- Keywords

+/- Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

+/- People and Organizations

+/- Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to Data Table: 698_rio_salado_bioclimate.csv

+/- Project

Parent Project Information:

+/- Maintenance

Data Entities

Data Package Usage Rights

Keywords

Methods and Protocols

People and Organizations

Temporal, Geographic and Taxonomic Coverage

Project

Maintenance