Published November 13, 2020 | Version 1
Dataset Open

Precipitation and Temperature Anomalies from MERRA-2 dataset

Authors/Creators

  • 1. Indiana University
  • 2. University of Campinas

Description

Anomalies in Precipitation and Temperature for tiles around the globe.

Data derived from the reanalysis MERRA-2 project [1]. The dataset covers the period from 1980 to 2018, between 80ºN and 80ºS. The spatial resolution is 1.0º x 1.0º resulting in 45,792 tiles and a time resolution of 7 days (by averaging the values over each week). Precipitation time-series were re-scaled by applying a logarithmic function to all values.

To discount seasonality effects, we averaged temperature and precipitation values for each of the 365 calendar days. We considered the interval from 1 January 1980 through 28 February 2018 as the climatic period for which the long-term averages were computed. The anomalies are then obtained by subtracting for each day the respective average temperature or precipitation from the climatic period (for example, the 1 January 1998 anomaly is computed as the value for that day minus the average of all January 1 values between 1980 and 2018).

To process the data, use the code available in:

https://github.com/filipinascimento/teleconnectionsgranger/

http://arxiv.org/abs/2012.03848

[1] A. Molod, L. Takacs, M. Suarez, and J. Bacmeister, “Development of the geos-5 atmospheric general circulation model: evolution from merra to merra2,” Geoscientific Model Development 8, 1339–1356 (2015).

 

 

Notes

This research was developed using the computational resources from the Center for Mathematical Sciences Applied to Industry (CeMEAI) funded by the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) under Grant No. 2013/07375-0. D.A.V.O acknowledges FAPESP Grants 2016/23698-1, 2018/24260-5, and 2019/26283-5. This material is based upon work supported by the National Science Foundation under Grant No. CNS-0521433. Support for B.K. was provided in part by the National Science Foundation through agreement CBET-1931641, the Indiana University Environmental Resilience Institute, and the {\it Prepared for Environmental Change} Grand Challenge initiative. This work was based on research supported by the U.S. Department of Energy (DOE), Office of Science, Biological and Environmental Research, as part of the Regional and Global Model Analysis program. The Pacific Northwest National Laboratory is operated for the US Department of Energy by Battelle Memorial Institute under contract DE-AC05-76RL01830

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References

  • Filipi N Silva, , Didier A. Vega-Oliveros, Xiaoran Yan, Alessandro Flammini, Filippo Menczer, Filippo Radicchi, Ben Kravitz, and Santo Fortunato. "Detecting climate teleconnections with Granger causality." (2020). http://arxiv.org/abs/2012.03848