20240119 13401300 1.0 TRUE https://www.arcgis.com/sharing/rest/content/items/68c0b481aa02407d9f39855539508612/info/thumbnail/thumbnail1775153940030.png Map The Water Use Program in the Water Use Efficiency (WUE) Branch, Division of Regional Assistance (DRA), California Department of Water Resources (DWR) develops annual estimates of agricultural water use and demand at two spatial scales: Grid (4×4 km) and Detailed Analysis Unit/County (DAU/County) to support statewide water planning efforts, including the California Water Plan. These estimates consider factors such as irrigated acreage, crop types, weather conditions, and seasonal irrigation efficiency. This information helps assess agricultural water demand and supports long-term water planning efforts.Accurate agricultural water use estimates are essential for statewide water planning, resource management, and policy development. Each year, the program produces estimates of irrigated crop acreage, crop evapotranspiration (ETc), effective precipitation (Ep), evapotranspiration of applied water (ETaw), and applied water (AW) for individual crops by grid and for 20 crop categories by DAU/County across California for a specific water year. These estimates are developed using Spatial CIMIS ETo data, crop coefficients, SSURGO soil characteristics, PRISM precipitation, rooting depths, and other factors that influence the crop‑water balance.One of the major challenges in effectively managing California’s water resources is obtaining accurate and reliable information on agricultural water demand. This challenge led to the development of the Cal‑SIMETAW model, which provides improved estimates of water use and demand for irrigated crops in support of California’s water‑resources planning.Cal-SIMETAW was developed to use SSURGO soil data and crop and irrigation information together with PRISM precipitation and Spatial CIMIS ETo data to estimate ETc and to generate hypothetical water‑balance irrigation schedules to determine ETaw for various crops on a 4 × 4 km grid spacing across the state. The result is a large database of seasonal reference evapotranspiration (ETo), ETc, Ep, ETaw, and AW for individual crops by grid and for 20 crop categories by DAU/County, which are needed for the California Water Plan.Cal-SIMETAW stands for California simulation of evapotranspiration of applied water. Evapotranspiration of applied water or ETaw is an estimate of the seasonal ETc minus any water supplied by seasonal effective seepage of ground water and seasonal effective precipitation and minus the change in the soil water content from the beginning to the end of season. In other words, ETaw is the amount of irrigation water that contributes to ETc or needed to produce a crop assuming 100% application efficiency. Any water used for ETc that comes from precipitation, fog, groundwater, or preseason stored soil moisture is not supplied by irrigation and therefore is not part of ETaw. ET of applied water can also be estimated as the sum of the net application depths, applied to a crop during its growing season.  Cal-SIMETAW gridEffective precipitationSeasonal ET of applied waterSeasonal applied waterSeasonal ETcSeasonal EToLand useWater use and demand Cal-SIMETAW was developed to use SSURGO soil data and crop and irrigation information together with PRISM precipitation and Spatial CIMIS ETo data to estimate ETc and to generate hypothetical water balance irrigation schedules to determine ETaw for various crops on a 4 × 4 km grid spacing across the state. The result is a large database of seasonal reference evapotranspiration (ETo), ETc, Ep, ETaw, and AW for individual crops by grid and for 20 crop categories by DAU/County, which are needed for the California Water Plan. This feature layer was authored by Morteza Orang, Ricardo Trezza, Stanley Mubako, and Bekele Temesgen in the California Department of Water Resources' CIMIS, Land Use, and Water Use Section The water use and demand information for agricultural crops by grid (4 × 4 km) and by DAU/County is available to the public. This Cal‑SIMETAW grid feature layer is for viewing purposes only. Importantly, grid boundaries are not definitive and do not establish legal rights or define legal boundaries. While the Department believes the information to be reliable and has made efforts to ensure its accuracy at the time it was compiled, the information is provided “as is.” The Department is not responsible for the accuracy, completeness, quality, or legal sufficiency of the information. 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