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| Type: | Resource | |
| Storage: | The size of this resource is 74.1 MB | |
| Created: | Sep 25, 2019 at 12:12 a.m. (UTC) | |
| Last updated: | Feb 03, 2024 at 4:56 p.m. (UTC) (Metadata update) | |
| Published date: | Dec 22, 2020 at 9:23 p.m. (UTC) | |
| DOI: | 10.4211/hs.e24fdc11692a44368018a790b4d86b27 | |
| Citation: | See how to cite this resource | |
| Content types: | Geographic Raster Content |
| Sharing Status: | Published |
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| Views: | 3721 |
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Abstract
We provide the pathways and parameters of surface soil moisture (SM) drydown using global observations from NASA's Soil Moisture Active Passive (SMAP) at 36 KM spatial resolution. Globally dominant canonical shapes of SM drydowns are identified using a non-parametric approach. A pixel-wise fitting of the selected canonical forms using a non-linear least-squares approach provide the pathways and parameters of SM drydown. The data generated from this study can be used for diverse applications including (and not limited to) identification of dominant soil hydrologic regimes, understanding land-surface coupling strength, and estimating effective soil water retention parameters at remote-sensing footprint scale etc.
Details can be found in our paper: Sehgal, V., Gaur, N., & Mohanty, B. P. (2020). Global Surface Soil Moisture Drydown Patterns. Water Resources Research, 56, e2020WR027588. https://doi.org/10.1029/2020WR027588
Subject Keywords
Coverage
Spatial
Temporal
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Content
readme.txt
# PARAMETERS OF GLOBAL SURFACE SOIL MOISTURE DRYDOWN USING SMAP ### Data description - The parameters for the global soil moisture drydown pathways (Sehgal et. al. 2020) are provided as Comma Separated Values (CSV) and global raster format. - Data is provided separately for the four seasons (*DJF, MAM, JJA and SON*) and combined total data (*all data*). - Missing values are indicated with “**NA**” in the CSV file. ### Variables |SlNo | Name | Description | Unit |------ |----------- |------------- |--- | 1 |longitude |Longitude of SMAP pixel centroid |Decimal degree | 2 |latitude |Latitude of SMAP pixel centroid |Decimal degree | 3 |canonical_form |Canonical shape of drydown using non-parametric approach |NA | 4 |pathway |Drydown pathway using non-linear least-squares fitting |NA # Parameters | 5 | ld |constant-rate loss during dry phase |m3/m3/day | 6 | theta_TD |transition point between transitional and dry phase |m3/m3 | 7 | m2 |slope of transitional phase |day-1 | 8 | theta_WT |transition point between wet and transitional phase |m3/m3 | 9 | lw |constant-rate loss during wet phase |m3/m3/day | 10 | theta_GW |transition point between gravity drainage and wet phase |m3/m3 | 11 | m1 |slope of gravity drainage phase |day-1 # Uncertainty | 12 | sd_ld |standard deviation for ld |m3/m3/day | 13 | sd_theta_TD |standard deviation for theta_TD |m3/m3 | 14 | sd_m1 |standard deviation for m1 |day-1 | 15 | sd_theta_WT |standard deviation for theta_WT |m3/m3 | 16 | sd_lw |standard deviation for lw |m3/m3/day | 17 | sd_theta_GW |standard deviation for theta_GW |m3/m3 | 18 | sd_m2 |standard deviation for m2 |day-1 # Performance | 19 | MSE_val |Mean squared error for validation dataset |m6/m6/day2 | 20 | CC_val |Correlation coefficient for validation dataset |dimensionless | 21 | d_val |Index of agreement for validation dataset |dimensionless | 22 | replacement |Is pathway replaced with a simpler form? (Yes= 1 or no=0) |NA **Reference**: Sehgal, V., Gaur, N., & Mohanty, B. P. (2020). Global Surface Soil Moisture Drydown Patterns. Water Resources Research, 56, e2020WR027588. https://doi.org/10.1029/2020WR027588 **Contact**: Vinit Sehgal, Water Management and Hydrological Science, Texas A&M University, TX 77840, USA, vinit@tamu.edu | vinit1263.09@gmail.com
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| The content of this resource is derived from | Sehgal, V., Gaur, N., & Mohanty, B. P. (2020). Global Surface Soil Moisture Drydown Patterns. Water Resources Research, 56, e2020WR027588. https://doi.org/10.1029/2020WR027588 |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| NASA | Root Zone Soil Hydraulic Property Estimation by SMAP | NNX16AQ58G |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
|---|---|---|---|---|
| Vinit Sehgal | Texas A&M University | Texas, US | ORCID | |
| BINAYAK MOHANTY | Texas A&M University | 2117 TAMU, 301E Scoates Hall, Texas A&M University | ORCID | |
| NANDITA GAUR | Crop and Soil Sciences Department, University of Georgia | Miller Plant Sciences Bldg, Room 3105, Athens, Georgia | ORCID |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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