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Maximum Cumulative Water Deficit - MCWD: a R language script DOI: 10.5281/zenodo.2625772 (https://doi.org/10.5281/zenodo.2652630) Script for the calculation of MCWD (Maximum Cumulative Water Deficit) in rainfall raster data (e.g. CHIRPS and TRMM). Calculation based in Aragão et al. (2007, https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2006GL028946). Please cite as: "Campanharo, W. A., and Silva Junior, C. H. L. (2019). Maximun Cumulative Water Deficit - MCWD: a R language script. doi:10.5281/zenodo.2652630." and "Silva Junior, et al. (2019). Fire responses to the 2010 and 2015/2016 Amazonian droughts. Frontiers in Earth Science. doi:10.3389/feart.2019.00097." Created by: Wesley A. Campanharo (https://www.researchgate.net/profile/Wesley_Campanharo) and Celso H. L. Silva Junior (https://www.researchgate.net/profile/Celso_Silva_Junior).
Tropical Forests, Climate Change, Forest, Droughts
Tropical Forests, Climate Change, Forest, Droughts
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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