| technologies-241 |
1D numerical model of in-situ cosmogenic 10Be, 14C, and 3He concentrations |
Cosmogenic nuclide geochemistry, numerical modeling |
Model |
Cosmogenic nuclide concentrations, erosion rate, erosion style, ground surface temperature |
Not specified |
Not specified |
A Combined Cosmogenic Nuclides Approach for Determining the Temperature-Dependence of Erosion |
10.1029/2021jf006580 |
759639 |
COLD |
Model to simulate cosmogenic nuclide concentrations evolution as a function of erosion and temperature. |
| technologies-242 |
Lagrangian particle tracing routine combined with numerical ice flow model |
Numerical ice flow modeling, Lagrangian particle tracing |
Model |
Spatial and temporal variability in erosion rates and source areas, 10Be concentrations |
Not specified |
Not specified |
Production and Transport of Supraglacial Debris: Insights From Cosmogenic 10 Be and Numerical Modeling, Chhota Shigri Glacier, Indian Himalaya |
10.1029/2020jf005586 |
759639 |
COLD |
Model to simulate debris transport and the impact of erosion on cosmogenic nuclide concentrations. |
| technologies-243 |
Debris thickness inversion method |
Data analysis, inversion |
Method |
Debris thickness change, englacial debris content, surface velocity |
Not specified |
Not specified |
The Causes of Debris-Covered Glacier Thinning: Evidence for the Importance of Ice Dynamics From Kennicott Glacier, Alaska |
10.3389/feart.2021.680995 |
759639 |
COLD |
Method to estimate debris thickness change and englacial debris content. |
| technologies-244 |
Simple debris particle trajectory model |
Glacial debris transport modeling |
Model |
10Be concentrations, medial moraine debris samples |
Not specified |
Not specified |
Temporal evolution of headwall erosion rates derived from cosmogenic nuclide concentrations in the medial moraines of Glacier d'Otemma, Switzerland |
10.1002/esp.5386 |
759639 |
COLD |
Model to simulate debris trajectories and correct 10Be concentrations for post-depositional accumulation. |
| technologies-245 |
GROOPS |
Gravity field recovery and GNSS processing |
Software toolkit |
GNSS data, GRACE/GRACE-FO data |
Not specified |
Not specified |
Yes |
10.1016/j.cageo.2021.104864 |
870353 |
G3P |
Gravity field recovery and GNSS processing |
| technologies-246 |
Python toolbox for computing uncertainties and covariance matrices |
Spatial covariance modeling |
Software toolkit |
GRACE/GRACE-FO TWS data |
TWS uncertainties for global river basins (via GravIS portal) |
Not specified |
Yes |
10.1029/2021jb022081 |
870353 |
G3P |
Computation of uncertainties and covariance matrices for terrestrial water storage data |
| technologies-247 |
Groundwater storage anomaly (GWSA) downscaling tool |
Random Forest |
Algorithm |
WGHM-based GWSA, ERA5-Land data, GPM-IMERG data |
Downscaled GWSA (0.1-degree resolution) |
Not specified |
Yes |
10.3390/hydrology9100179 |
870353 |
G3P |
Downscaling of groundwater storage anomaly data from coarse to fine resolution |
| technologies-248 |
GRACE Follow-On Accelerometer Data Recovery Tool |
Non-gravitational force modeling |
Algorithm |
GRACE-FO accelerometer data |
Improved GRACE-D ACT1B data |
Not specified |
Yes |
10.1029/2020jb021297 |
870353 |
G3P |
Recovery of GRACE-D accelerometer data |
| technologies-249 |
Hydrological Similar Pixels Algorithm |
Machine Learning |
Algorithm |
Satellite data, hydrological models, in-situ data |
Not specified |
Not specified |
A novel evapotranspiration based irrigation quantification method using the hydrological similar pixels algorithm |
10.1016/j.agwat.2022.107602 |
870344 |
WaterSENSE |
Irrigation quantification |
| technologies-250 |
Soil Water Content Monitoring System |
Data Fusion |
System |
Satellite data, in-situ data |
Not specified |
Not specified |
Towards near real-time national-scale soil water content monitoring using data fusion as a downscaling alternative |
10.1016/j.jhydrol.2022.127705 |
870344 |
WaterSENSE |
Soil moisture monitoring |