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Köppen climate types of California, using 1991–2020 climate normals. Golden Gate Bridge in fog Snow in the mountains of Southern California Summer in the Sierra Nevada at Lake Tahoe High precipitation in 2005 caused an ephemeral lake in the Badwater Basin of Death Valley.
While some measurements suggest the 2015-2016 El Niño was the strongest on record since 1950, [29] Southern California received below average precipitation contrary to what the Climate Prediction Center predicted leading up to the winter months.
Within the stations, all of them have at least 10 years of data, 2/5 have more than 50 years of data, and 1/10 have 100 years of data. [3] Version 1, or more commonly notated as V1 was the collection of monthly mean temperatures from 6,000 stations. There were, as of 2022, 3 subsequent versions of the GHCN – M have been created as described ...
MCDW data is recommended as a data source by libraries and other information providers, such as the University of Chicago Library. [3] Other publications, including annual regional climate data publications, have also cited and used MCDW data. [4] Academic research in meteorology has often cited MCDW data. [5] [6] [7]
The climate of San Diego, California, is classified as a hot-summer Mediterranean climate (Köppen climate classification Csa).While the basic climate features hot, sunny, and dry summers, and cooler, wetter winters, San Diego is more arid than the typical Mediterranean climate and consists of relatively dry winters compared to other zones with this type of climate. [2]
The 1997 California New Years Floods resulted from a series of winter storms, from December 26 to January 3 of 1997, fed with tropical moisture by an atmospheric river. It impacted Northern California, resulting in some of the most devastating flooding since the Great Flood of 1862 .
NCDC also maintained World Data Center for Meteorology, Asheville. The four World Centers (U.S., Russia, Japan and China) have created a free and open situation in which data and dialogue are exchanged. NCDC maintained the U.S. Climate Reference Network datasets and a vast number of other climate monitoring products. [7]
In 1948, C. W. Thornthwaite proposed an AI defined as: = where the water deficiency is calculated as the sum of the monthly differences between precipitation and potential evapotranspiration for those months when the normal precipitation is less than the normal evapotranspiration; and where stands for the sum of monthly values of potential evapotranspiration for the deficient months (after ...