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Dataset for 'Towards the closure of mass and energy budgets at the watershed scale: the Wahoo Creek Case' article
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| Type: | Resource | |
| Storage: | The size of this resource is 1.1 MB | |
| Created: | Oct 26, 2021 at 12:25 p.m. | |
| Last updated: | Nov 10, 2021 at 6:07 p.m. (Metadata update) | |
| Published date: | Nov 10, 2021 at 6:07 p.m. | |
| DOI: | 10.4211/hs.89478d0a27c646e3b6a92c2483c0174d | |
| Citation: | See how to cite this resource | |
| Content types: | Geographic Feature Content |
| Sharing Status: | Published |
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| Views: | 732 |
| Downloads: | 13 |
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Abstract
This dataset is part of the article entitled 'Towards the closure of mass and energy budgets at the watershed scale: the Wahoo Creek Case' from Hoeltgebaum and Dias, submitted to the Water Resources Research journal in November 2021.
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 article 'Towards the closure of mass and energy budgets at the watershed scale: the Wahoo Creek Case'.
Subject Keywords
Coverage
Spatial
Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
41.4356°
East Longitude
-96.3650°
South Latitude
41.0369°
West Longitude
-96.9098°
Content
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NOT stored in HydroShare, and we can't guarantee its availability, quality, or
security.
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 S_grace (mm): storage from the GRACE measurements ######################################################################################### ######################################################################################### 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 ET(S_grace) (mm/day): evapotranspiration estimates from S_grace #########################################################################################
Data Services
The following web services are available for data contained in this resource. Geospatial Feature and Raster
data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted
into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server
using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to
support additional data types.
Related Resources
| The content of this resource is derived from | NCDC - National Climatic Data Center |
| The content of this resource is derived from | AmeriFlux |
| 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 (2021). Dataset for 'Towards the closure of mass and energy budgets at the watershed scale: the Wahoo Creek Case' article, HydroShare, https://doi.org/10.4211/hs.89478d0a27c646e3b6a92c2483c0174d
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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