Caravan MultiMet: Extending Caravan with Multiple Weather Nowcasts and Forecasts
Guy Shalev, Frederik Kratzert

TL;DR
Caravan MultiMet extends the Caravan hydrology dataset by integrating multiple weather nowcast and forecast products, enabling improved real-time hydrological modeling and benchmarking.
Contribution
This work introduces the first large-sample hydrology dataset to incorporate diverse weather forecast data, enhancing its utility for real-time hydrological research.
Findings
Inclusion of multiple weather forecast products in Caravan.
Enhanced dataset supports better hydrological model evaluation.
Facilitates real-time hydrological forecasting and benchmarking.
Abstract
The Caravan large-sample hydrology dataset (Kratzert et al., 2023) was created to standardize and harmonize streamflow data from various regional datasets, combined with globally available meteorological forcing and catchment attributes. This community-driven project also allows researchers to conveniently extend the dataset for additional basins, as done 6 times to date (see https://github.com/kratzert/Caravan/discussions/10). We present a novel extension to Caravan, focusing on enriching the meteorological forcing data. Our extension adds three precipitation nowcast products (CPC, IMERG v07 Early, and CHIRPS) and three weather forecast products (ECMWF IFS HRES, GraphCast, and CHIRPS-GEFS) to the existing ERA5-Land reanalysis data. The inclusion of diverse data sources, particularly weather forecasts, enables more robust evaluation and benchmarking of hydrological models, especially…
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Taxonomy
TopicsCaching and Content Delivery
