Monthly 0.05° gross primary production, net ecosystem exchange, and evapotranspiration estimates for western U.S. drylands

Matthew P Dannenberg; Mallory L Barnes; William K Smith; Miriam R Johnston; Susan K Meerdink; Xian Wang; Russell L Scott; Joel A. Biederman

doi:10.25820/data.006185

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Monthly 0.05° gross primary production, net ecosystem exchange, and evapotranspiration estimates for western U.S. drylands

Dataset

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Monthly 0.05° gross primary production, net ecosystem exchange, and evapotranspiration estimates for western U.S. drylands

Matthew P Dannenberg, Mallory L Barnes, William K Smith, Miriam R Johnston, Susan K Meerdink, Xian Wang, Russell L Scott and Joel A. Biederman

University of Iowa

2015

DOI: 10.25820/data.006185

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drylannd_README9.46 kBDownload View

READMEDescription of the data including list of files, methods, creators, and funding.Open Data Commons Attribution (ODC-By) V1.0, Open Access

drylannd_v1_monthly_us_nee_2015_2020344.13 MBDownload View

Open Data Commons Attribution (ODC-By) V1.0, Open Access

drylannd_v1_monthly_us_et_2015_2020344.13 MBDownload View

Open Data Commons Attribution (ODC-By) V1.0, Open Access

drylannd_v1_monthly_us_gpp_2015_2020344.13 MBDownload View

Open Data Commons Attribution (ODC-By) V1.0, Open Access

Abstract

This dataset includes monthly gross primary production (GPP), net ecosystem exchange (NEE), and evapotranspiration (ET) estimates for the western United States at 0.05° resolution for April 2015 through December 2020. Eddy covariance GPP, NEE, and ET observations from a network of 28 sites were upscaled using an ensemble of 560 artificial neural networks (ANNs) based on MODIS vegetation indices, MODIS land surface temperature, SMAP soil moisture/temperature, and Rangeland Analysis v3 sub pixel plant functional type fractional cover. The model ensemble captured >70% of the monthly variance in GPP and ET and ~35% for NEE. The model also captured 70-80% of the spatial variance in GPP and ET (~50% for NEE) and ~80-98% of the mean seasonal variance in GPP and ET at the majority of the eddy covariance sites.

Gross Primary Production

Net Ecosystem Exchange

Evapotranspiration

MODIS

Artificial Neural Networks

Land Surface Temperature

Soil Moisture

Rangeland Analysis

Eddy Covariance

Details

Title: Subtitle: Monthly 0.05° gross primary production, net ecosystem exchange, and evapotranspiration estimates for western U.S. drylands
Creators: Matthew P Dannenberg - University of Iowa, Geographical and Sustainability Sciences
Mallory L Barnes - Indiana University
William K Smith - University of Arizona
Miriam R Johnston - University of Iowa, Geographical and Sustainability Sciences
Susan K Meerdink - University of Iowa, Geographical and Sustainability Sciences
Xian Wang - University of Arizona
Russell L Scott - United States Department of Agriculture
Joel A. Biederman - Agricultural Research Service
Contributors: Brian Westra (Data Curator) - University of Iowa, Humanities and Social Sciences/Scholarly Impact
Resource Type: Dataset
DOI: 10.25820/data.006185
Publisher: University of Iowa
Locations: W: -125.000, E: -96.000, S: 31.000, N: 49.000
Grants: Leveraging SMAP soil moisture and multi-source Earth observations to quantify variability and drivers of global dryland carbon and water fluxes, 80NSSC20K1805, National Aeronautics and Space Administration (United States, Washington) - NASA
Language: English
Date collected: 03/01/2015–12/31/2020
Date created: 2015
Academic Unit: Humanities and Social Sciences/Scholarly Impact; Geographical and Sustainability Sciences
Record Identifier: 9984273842202771

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