Merged Statistical Analyses of Historical Monthly Precipitation Anomalies Beginning 1900
d570004
An improved land-ocean global monthly precipitation anomaly reconstruction is developed for the period beginning in 1900. Reconstructions use the available historical data and statistics developed from the modern satellite-sampled period to analyze variations over the historical pre-satellite period. This paper documents the latest in a series of precipitation reconstructions developed by the authors. Although the reconstruction principle is still the minimization of mean-squared error, this latest reconstruction includes the following three major improvements over previous reconstructions: (i) an improved method that first produces an annual first guess, which is then adjusted using a monthly increment analysis; (ii) improved use of oceanic observations in the annual first guess using a canonical correlation analysis; and (iii) reinjection of gauge data where those data are available. These improvements allow more confident analyses and evaluations of global precipitation variations over the reconstruction period. (Abstract excerpted from Smith et al. 2012.)
dataset
https://gdex.ucar.edu/datasets/d570004/
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climatologyMeteorologyAtmosphere
dataset
revision
2021-03-30
SATELLITES > SATELLITES
GROUND-BASED OBSERVATIONS > GROUND-BASED OBSERVATIONS
revision
2026-02-27
EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION ANOMALIES
revision
2026-02-27
1900
2008
publication
2011-04-25
notPlanned
Creative Commons Attribution 4.0 International License
None
pointOfContact
NSF NCAR Geoscience Data Exchange
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description: The Geoscience Data Exchange (GDEX), managed by the Computational and Information Systems Laboratory (CISL) at NSF NCAR, contains a large collection of meteorological, atmospheric composition, and oceanographic observations, and operational and reanalysis model outputs, integrated with NSF NCAR High Performance Compute services to support atmospheric and geosciences research.
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2019-03-04T20:17:09Z