Online Rainfall Atlas of Hawai‘i
Thomas W. Giambelluca,Qi Chen,Abby G. Frazier,Jonathan P. Price,Yi-Leng Chen,Pao-Shin Chu,Jon Eischeid,Donna Delparte +7 more
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TLDR
The Rainfall Atlas of Hawai'i as discussed by the authors is a set of digitalmaps of the spatial patterns of the 1978-2007 meanmonthly and annual rainfall for the major Hawaiian islands.Abstract:
nteraction among trade winds,terrain, land thermal effects, andthe trade-wind inversion give theHawaiian Islands one of the mostvaried rainfall patterns on Earth.Distinct, persistent patterns of upliftlead to dramatic rainfall gradientsand, together with elevation-relatedtemperature differences, producenearly the full range of climate types.This microcosm of global environ-mental diversity provides a uniquenatural laboratory for world-classresearch on topics such as terres-trial ecosystem carbon dynamics, soilgeochemistry, and the mechanics ofspecies invasion. Knowledge of meanrainfall patterns in Hawai'i is criticallyimportant in support of these researchendeavors as well as for managing andprotecting groundwater and surfacewater resources, controlling and eradicating invasivespecies, protecting and restoring native ecosystems,and planning for the effects of global climate change.The Rainfall Atlas of Hawai'i is a set of digitalmaps of the spatial patterns of 1978-2007 meanmonthly and annual rainfall for the major Hawaiianread more
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WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas
TL;DR: In this paper, the authors created a new dataset of spatially interpolated monthly climate data for global land areas at a very high spatial resolution (approximately 1 km2), including monthly temperature (minimum, maximum and average), precipitation, solar radiation, vapour pressure and wind speed, aggregated across a target temporal range of 1970-2000, using data from between 9000 and 60,000 weather stations.
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Our Skill in Modeling Mountain Rain and Snow is Bypassing the Skill of Our Observational Networks
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Comparison of geostatistical approaches to spatially interpolate month-year rainfall for the Hawaiian Islands
TL;DR: In this article, three kriging algorithms, namely, Ordinary Kriging (OK), OCK and KED, were compared using cross-validation statistics, where OK produced the lowest error statistics.