%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.23.17.08.52
%2 sid.inpe.br/marte2/2017/10.23.17.08.53
%@isbn 978-85-17-00088-1
%F 59220
%T An update of Xavier, King and Scanlon (2016) daily precipitation gridded data set for the Brazil
%D 2017
%A Xavier, Alexandre Cândido,
%A King, Carey W,
%A Scanlon, Bridget R,
%@electronicmailaddress alexandre.candido.xavier.ufes@gmail.com
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
%C Santos
%8 28-31 maio 2017
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 562-569
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X The objective of this work is to present an update to the daily precipitation gridded setdeveloped by Xavier, King and Scanlon (2016), where the previous dataset is namely v2 and the new oneis v2.1. The v2.1 gridded data uses 9,259 rain gauges relative to 3,630 in v2. We also extend the periodof the gridded data by two years (v2.1 is from Jan/01/1980 to Dec/12/2015 while v2 is from Jan/01/1980to Dec/12/2013). In the generation of v2.1 gridded data set, we tested two interpolation methods: theangular distance weighting (ADW), and the inverse distance weighting (IDW). We selected the ADWinterpolations because it presents better skill score in the cross-validation analysis. The v2.1 griddeddata are derived using 155% more rain gauges than v2. Almost all skill scores from cross-validation ofv2.1 are better than those from v2, and we make this update of the gridded set available to the community.
%9 Meteorologia e climatologia
%@language en
%3 59220.pdf