Annual amounts generally range between 34 to 52 inches, while the majority of places receive 38. View Data : Daily Precipitation Reports By State. Precipitation is fairly evenly distributed throughout the year. Click here to learn more about the differences between IMERG Early, Late and Final. Monsoon 2022: Northern Arizona rainfall totals far exceed normal. All of this precipitation has fallen in a state that normally gets between 30 inches and 35 inches of. produced a collection of maps showing how what counts as normal temperature and precipitation for the United States has changed over the past century. s Drought Impacts by State Interactive table and map showing state- and county-specific drought impacts ranked by U.S. 3) Set the DATE and TYPE of data you want. Climate Normalsthe new official baseline for describing average U.S. Goodland, with a normal annual snowfall of 35.5 inches, has a range from 86.6 inches in 1984 to no snow at all in 1923. 2) In the first window, click Daily Summary Observations. The driest multiyear periods were in the early 1930s, late 1940s, late 1980s, and early 2010s, and the wettest were in the early 1940s, early 1980s, and late 1990s (Figure 2b). ![]() These other inputs are only made available several days, or in some cases, several months, after the satellite observations are taken, and the production data sets are computed after all data have arrived, making possible a more careful analysis.įor the GPM IMERG dataset, IMERG Early and Late Runs are the near real-time products, while IMERG Final Run is the research / production product. Some large areas of Michigan are way ahead of normal on precipitation amounts for 2023. Earlier this spring, NOAA released the 1991-2020 U.S. Precipitation is also highly variable from year to year, with statewide totals ranging from 7.9 inches in 2013 to 42.5 inches in 1983. For all other applications, production data products are generally the best data sets to use because additional or improved inputs are used to increase accuracy. GPM near real-time (GMI & DPR) products are generally available within a few hours of observation. GPM data products can be divided into two groups (near real-time and production) depending on how soon they are created after the satellite collects the observations. For applications such as weather, flood, and crop forecasting that need precipitation estimates as soon as possible, near real-time data products are most appropriate. NOAA locations that provide climatic data & historical data records.
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