<aside>
❗ Geotiff output format (data_tiff, score_tiff, forecast_tiff)
will be deprecated between now and model release v9.
</aside>
<aside>
❗ Bulk Download via /download/{paths} will be deprecated with the model release v9, planned for Sept. 3, 2024. It will continue to work with v8.
forecast_timeseries
replaces download
. In salientsdk
you can vectorize your call to grab years of forecasts with a single line of code. See notebook validate
.
</aside>
Dec. 3, 2024
salientsdk
v0.3.13 is published to pypi
- new function
extrapolate_trend
returns expected-value timeseries for any point in time
- example: used in the new notebook
trend.ipynb
- new function
Location.cluster
divides large location files into downscale-friendly smaller lists
- example: used in the 2024-25 ski-cast
hindcast_summary
now supports expanded set of model
values.
- Package dependencies are relaxed for greater compatibility inside other environments
November 18, 2024
- Tabular view of forecasts is available in addition to a map view
salientsdk
v0.3.9 is now live on pypi
- improved
validate
notebook
crps
function has backwards-incompatible changes to the return value:
- Returned Dataset data_val is now named
crps_<timescale>
to match inputs syntax like vals_<timescale>
- Returned Dataset contains new data_val
crps_<timescale>_all
to show the progression of skill over time
- If your notebook called
crps
and then inspected the results, it may need to be updated
November 4, 2024
- Forecast Evolution (Weekly, Monthly, Quarterly)
- View the forecast for a selected valid date range over multiple initialization dates
- Auto-play (in addition to manual advancing)
- Improved response time for seamless data visualization
- Forecast view
- Population and Unweighted averages using Area
- Forecast distribution chart
- Low latency GEFS and ECMWF ENS medium range as a new data feed that can be licensed. Forecasts are available within 30 minutes of public availability delivered to an AWS or GCS bucket. Contact your account rep for additional information.
October 7, 2024
New Forecast Views include:
- Model Comparison
- Compare forecasts across multiple models in a single view
- Forecast Evolution (Weekly)
- View the forecast for a selected valid date range over multiple initialization dates
- The initial release supports weekly calendar forecasts with a weekly initialization date cadence
- Future releases will support monthly calendar and quarterly calendar forecasts