A. C. Lute
Woodwell Climate Research Center | Postdoctoral Researcher
| Subject Areas: | hydrology, snow science, climate change, mountain environments |
Recent Activity
ABSTRACT:
The SnowClim Model is a physics-based snow model that incorporates key energy balance processes necessary for capturing snowpack spatiotemporal variability, including under future climate scenarios, while optimizing computational efficiency through several empirical simplifications. The SnowClim Model is specifically designed for energy balance snow modeling at high spatial resolutions over large domains.
The model is written in MATLAB (R2020b). The model code can be downloaded below or run in the cloud through HydroShare by clicking the 'Open With' button above and selecting MATLAB Online. The code run_snowclim_model.m describes how to set parameters, import climate forcing data, run the model, and plot a few model outputs. This code uses default parameter values and the example climate forcing data found in /example_forcings but can be modified for new applications.
Additional details regarding the SnowClim model physics and application to the western US are available in:
Lute, A. C., Abatzoglou, J., and Link, T.: SnowClim v1.0: high-resolution snow model and data for the western United States, Geosci. Model Dev., 15, 5045–5071, https://doi.org/10.5194/gmd-15-5045-2022, 2022.
Climate and snow data from application of the SnowClim model to the western US under pre-industrial, present-day, and future time periods can be found here:
https://www.hydroshare.org/resource/acc4f39ad6924a78811750043d59e5d0/
ABSTRACT:
The SnowClim Model and Dataset address the need for climate and snow data products that are based on physical principles, that are simulated at high spatial resolution, and that cover large geographic domains.
The SnowClim Model is a physics-based snow model that incorporates key energy balance processes necessary for capturing snowpack spatiotemporal variability, including under future climate scenarios, while optimizing computational efficiency throughout several empirical simplifications. The model code can be downloaded or run in the cloud using MATLAB Online through HydroShare.
The SnowClim Dataset consists of climate forcing data for and snow outputs from the SnowClim Model. Climate forcing data was downscaled from 4 km climate data from the Weather Research and Forecasting (WRF) model (Rasmussen and Liu, 2017) to ~210 m across the contiguous western United States. Climate forcings were downscaled from WRF directly for a present day (2000-2013) period and a thirteen year pseudo global warming scenario reflecting conditions between 2071-2100 under RCP 8.5. Climate forcings were prepared for a third time period by perturbing present-day downscaled climate data by the multi-model mean from CMIP5 to reflect conditions under pre-industrial conditions (1850-1879).
Additional details regarding the SnowClim model physics, model calibration, climate data downscaling, model application to the western US, and model performance are available in:
Lute, A. C., Abatzoglou, J., and Link, T.: SnowClim v1.0: high-resolution snow model and data for the western United States, Geosci. Model Dev., 15, 5045–5071, https://doi.org/10.5194/gmd-15-5045-2022, 2022.
ABSTRACT:
This resource is part of the larger SnowClim Dataset (https://www.hydroshare.org/resource/acc4f39ad6924a78811750043d59e5d0/). This resource contains pre-industrial climate metrics. Climate metrics were created by first downscaling outputs of the Weather Research and Forecasting Model (WRF; Rasmussen and Liu, 2017) for the present-day period (1 Oct 2000 to 30 Sep 2013) using a combination of local lapse rates and terrain corrections for solar radiation as described in Lute et al., (in prep). Downscaled data was then perturbed by the multi-model mean delta from CMIP5 to create climate date reflecting pre-industrial conditions (1850-1879). Climate metrics are available on a ~210 m grid for the western United States in both netCDF and GeoTiff formats.
Additional information is available in:
Lute, A. C., Abatzoglou, J., and Link, T.: SnowClim v1.0: high-resolution snow model and data for the western United States, Geosci. Model Dev., 15, 5045–5071, https://doi.org/10.5194/gmd-15-5045-2022, 2022.
ABSTRACT:
This resource contains snow metrics for the pre-industrial period and represents a subset of the SnowClim Dataset (https://www.hydroshare.org/resource/acc4f39ad6924a78811750043d59e5d0/). The SnowClim Dataset was developed following the methods presented in Lute et al., (in prep). The pre-industrial snow data was created by first downscaling 4 km climate forcings from the Weather Research and Forecasting (WRF) model (Rasmussen and Liu, 2017) over a thirteen year period (1 Oct 2000 to 30 Sep 2013) and then perturbing the downscaled data using multi-model mean deltas from CMIP5 to create climate forcing data that reflects conditions during 1850-1879. This climate data was then used to force the SnowClim snow model. Snow model outputs were summarized into snow metrics at ~210 m spatial resolution for the western US.
Additional details about forcing data preparation, model physics, model calibration, and application to the western US domain can be found in:
Lute, A. C., Abatzoglou, J., and Link, T.: SnowClim v1.0: high-resolution snow model and data for the western United States, Geosci. Model Dev., 15, 5045–5071, https://doi.org/10.5194/gmd-15-5045-2022, 2022.
ABSTRACT:
This resource is part of the larger SnowClim Dataset (https://www.hydroshare.org/resource/acc4f39ad6924a78811750043d59e5d0/). This resource contains future climate metrics. Climate metrics were created by downscaling outputs of the Weather Research and Forecasting Model (WRF; Rasmussen and Liu, 2017) for thirteen year pseudo global warming scenario representing conditions for 2071-2100 under RCP8.5 using a combination of local lapse rates and terrain corrections for solar radiation as described in Lute et al., (in prep). Climate metrics are available on a ~210 m grid for the western United States in both netCDF and GeoTiff formats.
Additional information is available in:
Lute, A. C., Abatzoglou, J., and Link, T.: SnowClim v1.0: high-resolution snow model and data for the western United States, Geosci. Model Dev., 15, 5045–5071, https://doi.org/10.5194/gmd-15-5045-2022, 2022.
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Created: July 22, 2021, 8:57 p.m.
Authors: A.C. Lute · John Abatzoglou · Link, Timothy
ABSTRACT:
This resource contains snow metrics for the present-day period and represents a subset of the SnowClim Dataset (https://www.hydroshare.org/resource/acc4f39ad6924a78811750043d59e5d0/). The SnowClim Dataset was developed following the methods presented in Lute et al., (in prep). The present-day snow data was created by first downscaling 4 km climate forcings from the Weather Research and Forecasting (WRF) model (Rasmussen and Liu, 2017) over a thirteen year period (1 Oct 2000 to 30 Sep 2013) and then using this climate data to force the SnowClim snow model. Snow model outputs were summarized into snow metrics at ~210 m spatial resolution for the western US.
Additional details about forcing data preparation, model physics, model calibration, and application to the western US domain can be found in:
Lute, A. C., Abatzoglou, J., and Link, T.: SnowClim v1.0: high-resolution snow model and data for the western United States, Geosci. Model Dev., 15, 5045–5071, https://doi.org/10.5194/gmd-15-5045-2022, 2022.
Created: July 22, 2021, 9:42 p.m.
Authors: A.C. Lute · John Abatzoglou · Link, Timothy
ABSTRACT:
This resource is part of the larger SnowClim Dataset (https://www.hydroshare.org/resource/acc4f39ad6924a78811750043d59e5d0/). This resource contains present-day climate metrics. Climate metrics were created by downscaling outputs of the Weather Research and Forecasting Model (WRF; Rasmussen and Liu, 2017) for the present-day period (1 Oct 2000 to 30 Sep 2013) using a combination of local lapse rates and terrain corrections for solar radiation as described in Lute et al., (in prep). Climate metrics are available on a ~210 m grid for the western United States in both netCDF and GeoTiff formats.
Additional information is available in:
Lute, A. C., Abatzoglou, J., and Link, T.: SnowClim v1.0: high-resolution snow model and data for the western United States, Geosci. Model Dev., 15, 5045–5071, https://doi.org/10.5194/gmd-15-5045-2022, 2022.
Created: July 22, 2021, 10:06 p.m.
Authors: Lute, A. C. · John Abatzoglou · Link, Timothy
ABSTRACT:
This resource contains snow metrics for a future climate scenario and represents a subset of the SnowClim Dataset (https://www.hydroshare.org/resource/acc4f39ad6924a78811750043d59e5d0/). The SnowClim Dataset was developed following the methods presented in Lute et al., (in prep). The future snow data was created by first downscaling 4 km climate forcings from the Weather Research and Forecasting (WRF) model (Rasmussen and Liu, 2017) over a thirteen year period representing conditions under RCP 8.5 during 2071-2100 and then using this climate data to force the SnowClim snow model. Snow model outputs were summarized into snow metrics at ~210 m spatial resolution for the western US.
Additional details about forcing data preparation, model physics, model calibration, and application to the western US domain can be found in:
Lute, A. C., Abatzoglou, J., and Link, T.: SnowClim v1.0: high-resolution snow model and data for the western United States, Geosci. Model Dev., 15, 5045–5071, https://doi.org/10.5194/gmd-15-5045-2022, 2022.
Created: July 22, 2021, 10:35 p.m.
Authors: A.C. Lute · John Abatzoglou · Link, Timothy
ABSTRACT:
This resource is part of the larger SnowClim Dataset (https://www.hydroshare.org/resource/acc4f39ad6924a78811750043d59e5d0/). This resource contains future climate metrics. Climate metrics were created by downscaling outputs of the Weather Research and Forecasting Model (WRF; Rasmussen and Liu, 2017) for thirteen year pseudo global warming scenario representing conditions for 2071-2100 under RCP8.5 using a combination of local lapse rates and terrain corrections for solar radiation as described in Lute et al., (in prep). Climate metrics are available on a ~210 m grid for the western United States in both netCDF and GeoTiff formats.
Additional information is available in:
Lute, A. C., Abatzoglou, J., and Link, T.: SnowClim v1.0: high-resolution snow model and data for the western United States, Geosci. Model Dev., 15, 5045–5071, https://doi.org/10.5194/gmd-15-5045-2022, 2022.
Created: Oct. 25, 2021, 10:38 p.m.
Authors: A.C. Lute · John Abatzoglou · Link, Timothy
ABSTRACT:
This resource contains snow metrics for the pre-industrial period and represents a subset of the SnowClim Dataset (https://www.hydroshare.org/resource/acc4f39ad6924a78811750043d59e5d0/). The SnowClim Dataset was developed following the methods presented in Lute et al., (in prep). The pre-industrial snow data was created by first downscaling 4 km climate forcings from the Weather Research and Forecasting (WRF) model (Rasmussen and Liu, 2017) over a thirteen year period (1 Oct 2000 to 30 Sep 2013) and then perturbing the downscaled data using multi-model mean deltas from CMIP5 to create climate forcing data that reflects conditions during 1850-1879. This climate data was then used to force the SnowClim snow model. Snow model outputs were summarized into snow metrics at ~210 m spatial resolution for the western US.
Additional details about forcing data preparation, model physics, model calibration, and application to the western US domain can be found in:
Lute, A. C., Abatzoglou, J., and Link, T.: SnowClim v1.0: high-resolution snow model and data for the western United States, Geosci. Model Dev., 15, 5045–5071, https://doi.org/10.5194/gmd-15-5045-2022, 2022.
Created: Oct. 25, 2021, 10:40 p.m.
Authors: A.C. Lute · John Abatzoglou · Link, Timothy
ABSTRACT:
This resource is part of the larger SnowClim Dataset (https://www.hydroshare.org/resource/acc4f39ad6924a78811750043d59e5d0/). This resource contains pre-industrial climate metrics. Climate metrics were created by first downscaling outputs of the Weather Research and Forecasting Model (WRF; Rasmussen and Liu, 2017) for the present-day period (1 Oct 2000 to 30 Sep 2013) using a combination of local lapse rates and terrain corrections for solar radiation as described in Lute et al., (in prep). Downscaled data was then perturbed by the multi-model mean delta from CMIP5 to create climate date reflecting pre-industrial conditions (1850-1879). Climate metrics are available on a ~210 m grid for the western United States in both netCDF and GeoTiff formats.
Additional information is available in:
Lute, A. C., Abatzoglou, J., and Link, T.: SnowClim v1.0: high-resolution snow model and data for the western United States, Geosci. Model Dev., 15, 5045–5071, https://doi.org/10.5194/gmd-15-5045-2022, 2022.
Created: Nov. 3, 2021, 12:27 a.m.
Authors: Lute, A. C. · John Abatzoglou · Link, Timothy
ABSTRACT:
The SnowClim Model and Dataset address the need for climate and snow data products that are based on physical principles, that are simulated at high spatial resolution, and that cover large geographic domains.
The SnowClim Model is a physics-based snow model that incorporates key energy balance processes necessary for capturing snowpack spatiotemporal variability, including under future climate scenarios, while optimizing computational efficiency throughout several empirical simplifications. The model code can be downloaded or run in the cloud using MATLAB Online through HydroShare.
The SnowClim Dataset consists of climate forcing data for and snow outputs from the SnowClim Model. Climate forcing data was downscaled from 4 km climate data from the Weather Research and Forecasting (WRF) model (Rasmussen and Liu, 2017) to ~210 m across the contiguous western United States. Climate forcings were downscaled from WRF directly for a present day (2000-2013) period and a thirteen year pseudo global warming scenario reflecting conditions between 2071-2100 under RCP 8.5. Climate forcings were prepared for a third time period by perturbing present-day downscaled climate data by the multi-model mean from CMIP5 to reflect conditions under pre-industrial conditions (1850-1879).
Additional details regarding the SnowClim model physics, model calibration, climate data downscaling, model application to the western US, and model performance are available in:
Lute, A. C., Abatzoglou, J., and Link, T.: SnowClim v1.0: high-resolution snow model and data for the western United States, Geosci. Model Dev., 15, 5045–5071, https://doi.org/10.5194/gmd-15-5045-2022, 2022.
Created: Nov. 4, 2021, 6:13 p.m.
Authors: Lute, A. C. · John Abatzoglou · Link, Timothy
ABSTRACT:
The SnowClim Model is a physics-based snow model that incorporates key energy balance processes necessary for capturing snowpack spatiotemporal variability, including under future climate scenarios, while optimizing computational efficiency through several empirical simplifications. The SnowClim Model is specifically designed for energy balance snow modeling at high spatial resolutions over large domains.
The model is written in MATLAB (R2020b). The model code can be downloaded below or run in the cloud through HydroShare by clicking the 'Open With' button above and selecting MATLAB Online. The code run_snowclim_model.m describes how to set parameters, import climate forcing data, run the model, and plot a few model outputs. This code uses default parameter values and the example climate forcing data found in /example_forcings but can be modified for new applications.
Additional details regarding the SnowClim model physics and application to the western US are available in:
Lute, A. C., Abatzoglou, J., and Link, T.: SnowClim v1.0: high-resolution snow model and data for the western United States, Geosci. Model Dev., 15, 5045–5071, https://doi.org/10.5194/gmd-15-5045-2022, 2022.
Climate and snow data from application of the SnowClim model to the western US under pre-industrial, present-day, and future time periods can be found here:
https://www.hydroshare.org/resource/acc4f39ad6924a78811750043d59e5d0/