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Dataset for "Evaluation of the storage and evapotranspiration terms of the water budget for an agricultural watershed using local and remote-sensing measurements" article
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| Type: | Resource | |
| Storage: | The size of this resource is 969.1 KB | |
| Created: | Jul 06, 2023 at 3:33 a.m. | |
| Last updated: | Jul 10, 2023 at 12:40 p.m. | |
| DOI: | 10.4211/hs.793b01dd2b924bd0bf7ea695bbc8f0c8 | |
| Citation: | See how to cite this resource | |
| Content types: | Single File Content |
| Sharing Status: | Published |
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| Views: | 195 |
| Downloads: | 3 |
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Abstract
This dataset is part of the article entitled "Evaluation of the storage and evapotranspiration terms of the water budget for an agricultural watershed using local and remote-sensing measurements" from Hoeltgebaum and Dias, submitted to the Agricultural and Forest Meteorology journal in July 2023.
This dataset contains processed data from 6 rain gauges, 10 snowboard measurement points, 2 discharge gages, measurements of latent heat flux and soil moisture (at 4 depths) for 3 AmeriFlux stations, and remote sensing data over 2 basins, such as NDVI, land surface radiation, and soil moisture. Estimates of storage and evapotranspiration over the basins are also included. More detail on the processing of data and methods of calculations can be seen in the main article.
Subject Keywords
Coverage
Spatial
Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Wahoo Creek Basin
North Latitude
41.4356°
East Longitude
-96.3650°
South Latitude
41.0369°
West Longitude
-96.9098°
Temporal
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Content
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readme.txt
######################################################################################### For each basin (itha and ashl) there are 4 .csv files: ######################################################################################### ######################################################################################### All data present here are processed from raw data which sources are listed below ----------------------------------------------------------------------------------------- 'basin-remote-sensing.csv': statistics calculated from remote-sensing data over basin YYYY-MM-DD: timestamp --- year, month, day LSR_avg (W/m2): land surface radiation pixels average over basin LSR_std (W/m2): land surface radiation pixels standard deviation over basin LSR_cv (-): land surface radiation pixels coefficient of variation over basin NDVI_avg (-): NDVI pixels average over basin NDVI_std (-): NDVI pixels standard deviation over basin NDVI_cv (-): NDVI pixels coefficient of variation over basin SM_avg (%): soil moisture pixels average over basin SM_std (%): soil moisture standard deviation over basin SM_cv (-): soil moisture coefficient of variation over basin ----------------------------------------------------------------------------------------- sources SMAP SMAP/Sentinel-1 L2 Radiometer/Radar 30-Second Scene 3 km EASE-Grid Soil Moisture, Version 2. Bouder, Colorado. (Last accessed: 07 Ago .2020) doi: https://doi.org/10.5067/KE1CSVXMI95Y MODIS Land Surface Temperature for used to calculate Land Surface Radiation MODIS and VIIRS Land Products Global Subsetting and Visualization Tool. (ORNL DAAC, Oak Ridge, Tennessee, USA. Accessed August 07, 2020. Subset obtained for MYD11A2 product at 41.2592N,96.7221W, time period: 2000-01-01 to 2020-07-31, and subset size: 201 x 201 km.). doi: 10.3334/ORNLDAAC/1379 MODIS NDVI MODIS and VIIRS Land Products Global Subsetting and Visualization Tool. (ORNL DAAC, Oak Ridge, Tennessee, USA. Accessed August 07, 2020. Subset obtained for MYD13Q1 product at 41.2592N,96.7221W, time period: 2000-01-01 to 2020-07-31, and subset size: 200.25 x 200.25 km.) 10.3334/ORNLDAAC/1379 ######################################################################################### ######################################################################################### All data present here are processed from raw data which sources are listed below ----------------------------------------------------------------------------------------- 'basin-p-q-et-theta.csv': input data used for storage and evapotranspiration estimates YYYY-MM-DD: timestamp --- year, month, day PL (mm/day): rain (liquid precipitation) PL_u (mm/day): rain (liquid precipitation) corrected for undercatch PS (mm/day): water equivalent snowfall (solid precipitation) Q (mm/day): discharge ET (mm/day): areal evapotranspiration without energy-budget correction ET_EB (mm/day): areal evapotranspiration with energy-budget correction ET_WB (mm/day): areal evapotranspiration with water-budget correction theta_1 (%): areal soil moisture at 0.1 m depth theta_2 (%): areal soil moisture at 0.25 m depth theta_3 (%): areal soil moisture at 0.5 m depth theta_4 (%): areal soil moisture at 1.0 m depth ----------------------------------------------------------------------------------------- sources: rain (liquid precipitation) NDCD USC00255112 NDCD USC00253469 NDCD USC00250781 NDCD USC00252205 NDCD USC00257685 AmeriFlux US-Ne3 - doi: 10.17190/AMF/1246086 water equivalent snowfall (solid precipitation) NCDC USC00250375 NCDC USC00250781 NCDC USC00253050 NCDC USC00253467 NCDC USC00255362 NCDC USC00256922 NCDC USC00257640 NCDC USC00258795 NCDC USC00258905 NCDC USC00259193 discharge USGS 06804000 USGS 06804700 evapotranspiration and soil moisture AmeriFlux US-Ne1 - doi: 10.17190/AMF/1246084 AmeriFlux US-Ne2 - doi: 10.17190/AMF/1246085 AmeriFlux US-Ne3 - doi: 10.17190/AMF/1246086 ######################################################################################### ######################################################################################### these data are calculated from methods presented in the main article ----------------------------------------------------------------------------------------- 'basin-storage.csv': storage estimates at the end of each recession period YYYY-MM-DD: timestamp --- year, month, day S_sat (mm): saturated soil layer storage estimate from recession analysis S_uns (mm): unsaturated soil layer storage estimate from soil moisture measurements S (mm): S_sat + S_uns S_b (mm): storage estimate from the water-budget equation ######################################################################################### ######################################################################################### these data are calculated from methods presented in the main article ----------------------------------------------------------------------------------------- 'basin-evapotranspiration-estimates.csv': mean monthly evapotranspiration estimates from the water-budget method YYYY-MM-DD: timestamp --- year, month, day ET_WB (mm/day): measured evapotranspiration (areal evapotranspiration with water-budget correction) ET(S_sat) (mm/day): evapotranspiration estimates from S_sat ET(S_uns) (mm/day): evapotranspiration estimates from S_uns ET(S) (mm/day): evapotranspiration estimates from S #########################################################################################
Related Resources
| The content of this resource is derived from | AmeriFlux |
| The content of this resource is derived from | NCDC - National Climatic Data Center |
| The content of this resource is derived from | USGS - United States Geological Survey |
| The content of this resource is derived from | ORNL DAAC - Distributed Active Archive Center |
| The content of this resource is derived from | NASA NSIDC - National Snow and Ice Data Center |
How to Cite
Hoeltgebaum, L. E. B., N. L. Dias (2023). Dataset for "Evaluation of the storage and evapotranspiration terms of the water budget for an agricultural watershed using local and remote-sensing measurements" article, HydroShare, https://doi.org/10.4211/hs.793b01dd2b924bd0bf7ea695bbc8f0c8
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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