![]() ![]() As an example, December data will typically be posted sometime during the first week of January.Īny questions about this product should be directed to the CNRFC. Note, monthly data is collected during the first week of the following month and will be posted to this webpage when received from the National Weather Service cooperative observers. In addition the percent of normal will not be calculated. If a station has any missing data, it's WY to Date total will also be missing. NA means that 30 year averages do not exist for this station. Precipitation data is provided for each month of the most recent water year, total precipitation for the water year, the percent of normal for the water year to date, and the percent of the entire water year we have received to date. The water year starts on October 1 of the previous reference year and ends on September 30 of the reference year. There is no significant annual trend in precipitation across Europe as a. The following is data from National Weather Service cooperative observers as of the end of last month. Precipitation amounts for Europe were near average for the year 2021 as a whole. Spanning 50°S-50°N (and all longitudes) and ranging from 1981 to near-present, CHIRPS incorporates our in-house climatology, CHPclim, 0.05° resolution satellite imagery, and in-situ station data to create gridded rainfall time series for trend analysis and seasonal drought monitoring.Monthly Precipitation Summary Water Year 2022 The SPI values for these time periods are equivalent to the number of standard deviations from normal precipitation totals for that time period. These values reflect look-back periods of three months, six months, and twelve months. The creation of CHIRPS has supported drought monitoring efforts by the USAID Famine Early Warning Systems Network ( FEWS NET).Ĭlimate Hazards Group InfraRed Precipitation with Station data (CHIRPS) is a 35+ year quasi-global rainfall data set. SPI values are calculated monthly using data from the precipitation database. When applied to satellite-based precipitation fields, these improved climatologies can remove systematic bias-a key technique in the production of the 1981 to near-present CHIRPS data set. More recently, new resources of satellite observations like gridded satellite-based precipitation estimates from NASA and NOAA have been leveraged to build high resolution (0.05°) gridded precipitation climatologies. of precipitation over an extended period of time, usually for a season or more. CHIRPS was created in collaboration with scientists at the USGS Earth Resources Observation and Science (EROS) Center in order to deliver complete, reliable, up-to-date data sets for a number of early warning objectives, like trend analysis and seasonal drought monitoring.Įarly research focused on combining models of terrain-induced precipitation enhancement with interpolated station data. Temperature and precipitation data are collected from weather stations. Conversely, precipitation grids produced from station data suffer in more rural regions where there are less rain-gauge stations. However, estimates derived from satellite data provide areal averages that suffer from biases due to complex terrain, which often underestimate the intensity of extreme precipitation events. An evolving drier-than-normal season must be placed in a historical context so that the severity of rainfall deficits can be quickly evaluated. Since 1999, USGS and CHC scientists-supported by funding from USAID, NASA, and NOAA-have developed techniques for producing rainfall maps, especially in areas where surface data is sparse.Įstimating rainfall variations in space and time is a key aspect of drought early warning and environmental monitoring. ![]()
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