Baker, Sarah听1听;听Rajagopalan, Balaji听2听;听Wood, Andrew听3
1听CU Boulder
2听CU Boulder
3听狈颁础搁
Operational sub-seasonal to seasonal (S2S) climate predictions have advanced in skill in recent years but are yet to be broadly utilized by stakeholders in the water management sector. While some of the challenges that relate to fundamental predictability are difficult or impossible to surmount, other hurdles related to forecast product formulation, translation, and accessibility can be directly addressed. These include products being misaligned with users鈥� space-time needs, products disseminated in formats users cannot easily process, and products based on raw model outputs that are biased relative to user climatologies. In each of these areas, more can be done to bridge the gap by enhancing the usability, quality, and relevance of water-oriented predictions.
We present interim results of a research to operations (R2O) effort sponsored by the NOAA MAPP Climate Testbed to formulate climate prediction products so as to reduce hurdles in water stakeholder adoption. The project is currently using Climate Forecast System version 2 (CFSv2) and National Multi颅Model Ensemble (NMME) reforecasts and forecasts to develop real-time watershed-based climate forecast products, and to train post-processing approaches to enhance the skill and reliability of raw real-time S2S forecasts. Prototype S2S climate data products (forecasts and associated skill analyses) are now being operationally staged at NCAR on a public website to facilitate further product development through interactions with water managers. Initial demonstration products include CFSv2-based bi-weekly climate forecasts (weeks 1-2, 2-3, and 3-4) for sub-regional scale hydrologic units, and NMME-based monthly and seasonal prediction products.
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