2006
DOI: 10.1007/s10236-006-0065-2
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Comparing 20 years of precipitation estimates from different sources over the world ocean

Abstract: The paper compares ten different global precipitation data sets over the oceans and discusses their respective strengths and weaknesses in ocean regions where they are potentially important to the salinity and buoyancy budgets of surface waters. Data sets (acronyms of which are given in Section 2) are categorised according to their source of data, which are (1) in situ for Center for Climatic Research (Legates and Willmott, 1990; Archive of Precipitation Version 3.01, http://climate.geog. udel.edu/~climate), S… Show more

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Cited by 48 publications
(20 citation statements)
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References 37 publications
(52 reference statements)
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“…Moreover, the fact that observed precipitation is larger in the northern versus southern hemisphere [1,3], further lends credence to the rainwater transport results of this model; larger values of V T lead to the mid-troposphere maximum of the zonally averaged rainwater ux moving downward. Since our solutions are linear, no direct quantitative comparison can be made.…”
Section: Resultssupporting
confidence: 58%
“…Moreover, the fact that observed precipitation is larger in the northern versus southern hemisphere [1,3], further lends credence to the rainwater transport results of this model; larger values of V T lead to the mid-troposphere maximum of the zonally averaged rainwater ux moving downward. Since our solutions are linear, no direct quantitative comparison can be made.…”
Section: Resultssupporting
confidence: 58%
“…These datasets represent two of the latest merged satellite/rain gauge products and are generally considered to provide a more accurate representation of global rainfall than current reanalysis products (e.g. Beranger et al 2006;Bosilovich et al 2008). …”
Section: Observational Datamentioning
confidence: 99%
“…For a given float, both the early-and late-winter measurements used to compute the spice-injection metrics of Fig. 8 OGCM with inherent biases, run without data assimilation, and forced by imperfect atmospheric fields, including a precipitation field that is highly uncertain Béranger et al 2006). Consequently, there are errors in air-sea fluxes, parameterized mixing, and large-scale flow and density structure that lead to inaccuracy in the hindcast on small scales.…”
Section: Decadal Variability Related To Winter Spice Injectionmentioning
confidence: 99%