This is a pytorch model trained on the Tropical Cyclone Wind Estimation Competition dataset with v0.1 of the TorchGeo package. The files in this upload include: last.ckpt - The model checkpoint The model checkpoint achieves an RMSE of 11.02597 on the test split
Dataset contains information on wind speed and wave height in Tropical Cyclones (TCs) obtained from ...
Satellite-based remote sensing technology plays a significant role in identifying tropical cyclones ...
Microwave remote sensing can be used to measure ocean surface winds, which can be used to detect tro...
This is a pytorch model trained on the Tropical Cyclone Wind Estimation Competition dataset with the...
Producing reliable tropical cyclone (TC) genesis forecasts is an operational priority. The National ...
In this paper, a parametric wind model for estimation of the gradient wind speed of tropical cyclone...
This dataset contains the simulation dataset used in "Sensitivity of Tropical Cyclone Development to...
A non-hydrostatic global model (MPAS) is being implemented in CESM and tested for short-time weather...
This dataset contains the post-processed model output used in the journal article "Impact of Tropica...
This archive supports the submission of "Reducing a tropical cyclone weak intensity bias in a global...
The proper simulation of the tropical cyclone (TC) boundary layer wind field is essential to predict...
A new data set of tropical cyclone winds (‘TC-winds’) through rain as observed by the WindSat and AM...
Copyright [15-02-2020] American Meteorological Society (AMS). Permission to use figures, tables, and...
13 pages, 11 figures, 2 tables, 1 appendix.-- The authors would like to thank European Space Agency ...
Global tropical cyclone wind speed return period maps. This dataset is derived with minimal process...
Dataset contains information on wind speed and wave height in Tropical Cyclones (TCs) obtained from ...
Satellite-based remote sensing technology plays a significant role in identifying tropical cyclones ...
Microwave remote sensing can be used to measure ocean surface winds, which can be used to detect tro...
This is a pytorch model trained on the Tropical Cyclone Wind Estimation Competition dataset with the...
Producing reliable tropical cyclone (TC) genesis forecasts is an operational priority. The National ...
In this paper, a parametric wind model for estimation of the gradient wind speed of tropical cyclone...
This dataset contains the simulation dataset used in "Sensitivity of Tropical Cyclone Development to...
A non-hydrostatic global model (MPAS) is being implemented in CESM and tested for short-time weather...
This dataset contains the post-processed model output used in the journal article "Impact of Tropica...
This archive supports the submission of "Reducing a tropical cyclone weak intensity bias in a global...
The proper simulation of the tropical cyclone (TC) boundary layer wind field is essential to predict...
A new data set of tropical cyclone winds (‘TC-winds’) through rain as observed by the WindSat and AM...
Copyright [15-02-2020] American Meteorological Society (AMS). Permission to use figures, tables, and...
13 pages, 11 figures, 2 tables, 1 appendix.-- The authors would like to thank European Space Agency ...
Global tropical cyclone wind speed return period maps. This dataset is derived with minimal process...
Dataset contains information on wind speed and wave height in Tropical Cyclones (TCs) obtained from ...
Satellite-based remote sensing technology plays a significant role in identifying tropical cyclones ...
Microwave remote sensing can be used to measure ocean surface winds, which can be used to detect tro...
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