Data Package Metadata View Summary

Fine-scale meteorological observations from walking traverses in two Phoenix Area Social Survey (PASS) 2017 neighborhoods (2019)

General Information

Data Package:
Local Identifier:	knb-lter-cap.687.1
Title:	Fine-scale meteorological observations from walking traverses in two Phoenix Area Social Survey (PASS) 2017 neighborhoods (2019)
Alternate Identifier:	DOI PLACE HOLDER
Abstract:	This dataset includes human-biometeorological observations from 2.5 km walking traverses with a mobile weather station. The traverses occurred in two 2017 Phoenix Area Social Survey neighborhoods (U18: South Phoenix/Salt River (Audubon) and W15: Camelback Mountain) on one day in June and October, at 12pm and 4pm on each day. Specifically, air temperature, humidity, wind speed, and radiant energy (infrared and solar radiation) in 3-dimensions were measured at 2-second intervals. Additionally, mean radiant temperature was calculated from the radiation measurements. The meteorological observations are spatially referenced with latitude and longitude coordinates. The paths through the neighborhoods were chosen to maximize proximity to PASS 2017 participants’ homes.
Publication Date:	2021-02-09
Language:	english

Time Period

Begin:

2019-06-20

End:

2019-10-03

People and Organizations
Contact:	Information Manager (Central Arizona–Phoenix LTER) [ email ]
Creator:	Wright, Mary (Arizona State University)
Creator:	Crank, Peter (Arizona State University)
Creator:	Middel, Ariane (Arizona State University)
Creator:	Hondula, David (Arizona State University)
Creator:	Sailor, David (Arizona State University)

Data Entities
Data Table Name:	687_marty_w15_u18_2019_aa2e836d838e12d268196a191771eb12.csv
Description:	Point measurements of meteorological data collected by the mobile weather station, MaRTy, while walking along sidewalk and/or asphalt nearby households in two PASS 2017 neighborhoods (W15 and U18). Measurements were collected on one day in June at 12 pm and 4 pm (UTC-7), and again in October at 12 pm and 4 pm (UTC-7).

Detailed Metadata

Data Entities

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/knb-lter-cap/687/1/1f72906abface75a035211c9a019d30a
Name:	687_marty_w15_u18_2019_aa2e836d838e12d268196a191771eb12.csv
Description:	Point measurements of meteorological data collected by the mobile weather station, MaRTy, while walking along sidewalk and/or asphalt nearby households in two PASS 2017 neighborhoods (W15 and U18). Measurements were collected on one day in June at 12 pm and 4 pm (UTC-7), and again in October at 12 pm and 4 pm (UTC-7).
Number of Records:	25400
Number of Columns:	27

Table Structure

Object Name:

687_marty_w15_u18_2019_aa2e836d838e12d268196a191771eb12.csv

Size:

5489690 bytes

Authentication:

aa2e836d838e12d268196a191771eb12 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:

DateTime

nhood

month

time

marty

lat

long

Altitude_m

WalkSpeed_ms

WindSpeed_ms

Tair_C_detrend

Tair_C

MRT_C_detrend

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

Phoenix Area Social Survey (2017) neighborhood where observation occurred

observation calendar month

observation time of day

MaRTy cart employed for observation

observation latitude measured with GPS16X Garmin GPS; Height: 1.5 m; Accuracy: less than 3 m; Reacquisition time: less than 2 s

observation longitude measured with GPS16X Garmin GPS; Height: 1.5 m; Accuracy: less than 3 m; Reacquisition time: less than 2 s

observation altitude measured with GPS16X Garmin GPS; Height: 1.5 m; Accuracy: less than 3 m; Reacquisition time: less than 2 s

walking speed

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

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

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; 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; 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; 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; 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; 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; 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

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	U18
Definition	Phoenix Area Social Survey neighborhood U18
Source

Code Definition

Code	W15
Definition	Phoenix Area Social Survey neighborhood W15
Source

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	June
Definition	data collection in June
Source

Code Definition

Code	October
Definition	data collection in October
Source

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	12pm
Definition	12pm
Source

Code Definition

Code	4pm
Definition	4pm
Source

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	1
Definition	MaRTy cart number 1
Source

Code Definition

Code	2
Definition	MaRTy cart number 2
Source

Unit	degree
Type	real
Min	33.4006683
Max	33.5239967

Unit	degree
Type	real
Min	-112.09929
Max	-111.9865467

Unit	meter
Type	real
Min	304.9
Max	401.1

Unit	meterPerSecond
Type	real
Min	0.5
Max	3.5

Unit	meterPerSecond
Type	real
Min	0.01
Max	7.42

Unit	celsius
Type	real
Min	28.3295855
Max	40.5331944

Unit	celsius
Type	real
Min	27.71
Max	40.68

Unit	dimensionless
Type	real
Min	6.018
Max	22.98

Unit	celsius
Type	real
Min	25.7963537
Max	75.0446926

Unit	celsius
Type	real
Min	27.47
Max	73.03

Unit	wattPerMeterSquared
Type	real
Min	4.892
Max	888

Unit	wattPerMeterSquared
Type	real
Min	3.006
Max	932

Unit	wattPerMeterSquared
Type	real
Min	10.81
Max	863

Unit	wattPerMeterSquared
Type	real
Min	-2.146
Max	901

Unit	wattPerMeterSquared
Type	real
Min	7.854
Max	1231

Unit	wattPerMeterSquared
Type	real
Min	-7.098
Max	263.6

Unit	wattPerMeterSquared
Type	real
Min	-80.3
Max	55.43

Unit	wattPerMeterSquared
Type	real
Min	-67.18
Max	112.6

Unit	wattPerMeterSquared
Type	real
Min	-58.04
Max	42.72

Unit	wattPerMeterSquared
Type	real
Min	-62.08
Max	29.51

Unit	wattPerMeterSquared
Type	real
Min	-178.5
Max	-26.21

Unit	wattPerMeterSquared
Type	real
Min	-42.36
Max	170.3

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, climate, humidity
LTER core areas	human-environment interactions, Climate and Heat
Creator Defined Keyword Set	heat, marty, biometeorology, traverse, shade, radiant
CAPLTER Keyword Set List	phoenix area social survey, pass, cap lter, cap, caplter, central arizona phoenix long term ecological research, arizona, az, arid land

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 thermal environment in two Phoenix neighborhoods by conducting walking traverses with a mobile weather station, known as 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 the net radiometers, which 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). The two neighborhoods selected for this research are both study sites for the 2017 Phoenix Area Social Survey (PASS; administered by the Central Arizona Phoenix Long-Term Ecological Research program). The two neighborhoods (U18: South Phoenix/Salt River (Audubon) and W15: Camelback Mountain) represent contrasting socioeconomics, prevalence of grey and green infrastructure, and incidence of heat-related illness. In summer 2019, we conducted 2.5 km (approximately) walking traverses along sidewalks within each neighborhood. The traverses occurred on June 20th and 24th (one day for each neighborhood) and again on October 1st and 3rd, and measurements were taken at 12-1 pm and at 4-5 pm (local time) on each day in each neighborhood. The observations in June represented climatologically typical hot days with clear and calm conditions where sun angles are at their highest. In early October, the observations are influenced by decreased sun angles, thus increasing shade—which greatly affects Tmrt (Middel et al., 2016). We de-trended the MaRTy observations of air temperature (Tair) and Tmrt using linear regression to account for changes in the overall thermal environment that occur over the course of data collection (~1 hour). De-trending was necessary to ensure that observations conducted at the beginning of data collection were comparable to observations taken at the end of data collection. Additionally, while conducting the traverses, it was occasionally necessary for researchers to stop the cart and move closer to the sensors, so we removed all observations collected at walking speeds less than 0.5 m/s. References Middel, A., & Krayenhoff, E. S. (2019). Micrometeorological determinants of pedestrian thermal exposure during record-breaking heat in Tempe, Arizona: Introducing the MaRTy observational platform. Science of The Total Environment, 687, 137–151. https://doi.org/10.1016/j.scitotenv.2019.06.085 Middel, A., Selover, N., Hagen, B., & Chhetri, N. (2016). Impact of shade on outdoor thermal comfort—A seasonal field study in Tempe, Arizona. International Journal of Biometeorology, 60(12), 1849–1861. https://doi.org/10.1007/s00484-016-1172-5 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

Description:

This method step describes provenance-based metadata as specified in the LTER EML Best Practices.

This provenance metadata does not contain entity specific information.

Data Source

Phoenix Area Social Survey (PASS): 2017

People and Organizations

Publishers:

Organization:

Environmental Data Initiative

Email Address:

info@environmentaldatainitiative.org

Web Address:

https://environmentaldatainitiative.org

Creators:

Individual:	Mary Wright
Organization:	Arizona State University
Id:	https://orcid.org/0000-0002-5931-0260

Individual:

Peter Crank

Organization:

Arizona State University

Email Address:

Peter.Crank@asu.edu

Id:

https://orcid.org/0000-0001-6694-9268

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:

David Sailor

Organization:

Arizona State University

Email Address:

dsailor@asu.edu

Id:

https://orcid.org/0000-0003-1720-8214

Contacts:

Organization:

Central Arizona–Phoenix LTER

Position:

Information Manager

Address:

Arizona State University,

Global Institute of Sustainability,

Tempe, AZ 85287-5402 USA

Email Address:

caplter.data@asu.edu

Web Address:

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

Metadata Providers:

Individual:	Mary Wright
Organization:	Arizona State University
Id:	https://orcid.org/0000-0002-5931-0260

Temporal, Geographic and Taxonomic Coverage

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

Time Period

Begin:

2019-06-20

End:

2019-10-03

Geographic Region:

Description:

CAP LTER study area: greater Phoenix, Arizona (USA) metropolitan area and surrounding Sonoran desert region

Bounding Coordinates:

Northern:	33.524	Southern:	33.4007
Western:	-112.0993	Eastern:	-111.9865

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

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

Fine-scale meteorological observations from walking traverses in two Phoenix Area Social Survey (PASS) 2017 neighborhoods (2019)

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

Project

Parent Project Information:

Recently Added

Recently Updated

Data Package Metadata View Summary

Fine-scale meteorological observations from walking traverses in two Phoenix Area Social Survey (PASS) 2017 neighborhoods (2019)

+/- 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

+/- Project

Parent Project Information:

Data Entities

Data Package Usage Rights

Keywords

Methods and Protocols

People and Organizations

Temporal, Geographic and Taxonomic Coverage

Project