![]() January 2022 La Niña Composite and GPCP precipitation anomalies ![]() It is provided courtesy of the GPCP Principal Investigator team at the University of Maryland. The following analysis is based upon the Global Precipitation Climatology Project (GPCP) Interim Climate Data Record. Global Precipitation Climatology Project (GPCP) Heavy rain associated with the storm caused floods, including the flooding of more than 37,000 hectares of crops. It was reported that water supply systems, power poles, and roads were also damaged. According to ReliefWeb, the storm was responsible for destroying over 12,000 homes and damaging over 25 health centres. On January 24, Ana made landfall in northern Mozambique. Tropical Storm Ana was the first named storm of the year for the Southwest Indian Ocean basin. This was the fifth highest daily total for the airport since 1948. According to Bahrain's Meteorological Directorate Climate Section, January 1 had the highest daily precipitation during the month when a total of 36.2 mm (1.4 inches) fell. This was its sixth wettest January since records began in 1902. The Bahrain International Airport at the Kingdom of Bahrain had a total of 58 mm (2.3 inches) of precipitation for the month, which is a little over triple its monthly average rainfall of 18.1 mm (0.7 inch). Of note, Hikone in Shiga Prefecture observed a total of 78 cm (30.7 inches), which is a new 48-hour snowfall record for this location. The national precipitation total was 26% of normal and was the fifth driest January since 1961.Īccording to the Japan Meteorological Agency, snowfall fell across parts of northern Japan from late December to early January, with some locations setting new snowfall records. Wetter-than-normal conditions were notable across parts of Asia, southern South America, eastern Europe, and central and southeastern Australia.īelow-average precipitation engulfed much of Spain. January precipitation was generally drier than normal across much of the central and western contiguous U.S., Mexico, central and western Europe, western Australia, northern New Zealand, and across parts of the Korean peninsula and Japan. ![]() January 2022 Land-Only Precipitation Percent of NormalĪs is typical, precipitation anomalies during January 2022 varied significantly around the world. The maps shown below represent precipitation percent of normal (left, using a base period of 1961–1990) and precipitation percentiles (right, using the period of record) based on the GHCN dataset of land surface stations. The percentile map on the right provides additional information by placing the temperature anomaly observed for a specific place and time period into historical perspective, showing how the most current month, season or year compares with the past. Temperature anomalies for land and ocean are analyzed separately and then merged to form the global analysis. The anomaly map on the left is a product of a merged land surface temperature and sea surface temperature anomaly analysis. Temperature anomalies and percentiles are shown on the gridded maps below. The most current reconstruction analysis is always considered the most representative and precise of the climate system, and it is publicly available through Climate at a Glance. These factors, together, mean that calculations from the past may be superseded by the most recent data and can affect the numbers reported in the monthly climate reports. ![]() Based on those new calculations, the new historical data can bring about updates to previously reported values. NOAAGlobalTempv5 is a reconstructed dataset, meaning that the entire period of record is recalculated each month with new data. The major dataset, NOAAGlobalTemp version 5, updated in mid-2019, uses comprehensive data collections of increased global area coverage over both land and ocean surfaces. NOAA's National Centers for Environmental Information calculates the global temperature anomaly every month based on preliminary data generated from authoritative datasets of temperature observations from around the globe. ![]()
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