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Parameters of Global Surface Soil Moisture Drydown using SMAP
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
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# 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
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.
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.
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