Monthly anomaly database of atmospheric and oceanic parameters in the tropical Atlantic ocean

被引:4
作者
Varona, H. L. [1 ,2 ]
Hernandez, F. [1 ,3 ]
Bertrand, A. [4 ]
Araujo, M. [1 ,2 ,5 ]
机构
[1] Univ Fed Pernambuco, Ctr Technol & Geosci GTG, Dept Oceanog DOCEAN, Lab Phys Coastal & Estuarine Oceanog LOFEC, Recife, PE, Brazil
[2] Univ Fed Pernambuco, Ctr Studies & Tests Risk & Environm Modeling CEER, Recife, PE, Brazil
[3] Univ Toulouse, Inst Rech Dev IRD, CNES, CNRS,LEGOS, Toulouse, France
[4] Univ Montpellier, IFREMER, CNRS, MARBEC,IRD, Sete, France
[5] Brazilian Res Network Global Climate Change Rede, Sao Jose Dos Campos, SP, Brazil
来源
DATA IN BRIEF | 2022年 / 41卷
关键词
MARDAO dataset; TAAD dataset; Anomaly; Tropical Atlantic; Climate change; REANALYSIS; SYSTEM;
D O I
10.1016/j.dib.2022.107969
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The Tropical Atlantic Ocean Database and Monthly Anomalies of River Discharge on Atlantic Ocean datasets encompass the monthly anomalies of a variety of physical, biogeochemical parameters from the tropical Atlantic Ocean and the monthly anomalies of river runoff in the Atlantic Ocean and its adjacent seas. The parameters used as the base for the computation of anomalies come from the TROPFLUX, GPCP, ASCAT, SODA, GODAS, DASK, SeaWiFS, OAFLUX, WAVEWATCH III, NOAA/ESRL 20th Century Reanalysis, GLOBAL_REANALYSIS_BIO_001_029, GLOBAL_REANALYSIS_BIO_001_033, OCEANCOLOUR_GLO_ OPTICS_L4_REP_OBSERVATIONS_009_081, OSCAR, SMOS, MODIS-Aqua, CO2_Flux, and GRDC datasets. Several of the anomaly data are redundant, but come from different data sources making comparative studies possible. For ease of use, both datasets are provided in NetCDF format, CF convention. These datasets include 18 files in NetCDF format, which facilitates its handling due to the diversity of freeware tools that exist and are structured in two-, three- and four-dimensional grids. All these anomalies can be useful to oceanographers, meteorologists, ecologists and other researchers for studies of climate variation in the tropical Atlantic Ocean. These datasets are hosted at https://www.seanoe.org/data/00718/82962 and https://data.mendeley.com/datasets/pn5b35vn6s/1. (C) 2022 The Author(s). Published by Elsevier Inc.
引用
收藏
页数:13
相关论文
共 22 条
[21]   The development and operational application of nonlinear algorithms for the measurement of sea surface temperatures with the NOAA polar-orbiting environmental satellites [J].
Walton, CC ;
Pichel, WG ;
Sapper, JF ;
May, DA .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1998, 103 (C12) :27999-28012
[22]  
Yu L., 2008, OA200801 WOODS HOL O, P64