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3 results for “meteorological drought”

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zenodo48/100

Meteorological drought lacunarity around the world and its classification

<p>Drought duration strongly depends on the definition thereof. In meteorology, dryness is habitually measured by means of fixed thresholds (e.g. 0.1 or 1 mm usually define dry spells) or climatic mean values (as is the case of the Standardised Precipitation Index), but this also depends on the aggregation time interval considered. However, robust measurements of drought duration are required for analysing the statistical significance of possible changes. Herein we have climatically classified the drought duration around the world according to their similarity to the voids of the Cantor set. Dryness time structure can be concisely measured by the n-index (from the regular/irregular alternation of dry/wet spells), which is closely related to the Gini index and to a Cantor-based exponent. This enables the world&rsquo;s climates to be classified into six large types based upon a new measure of drought duration. We performed the dry-spell analysis using the full global gridded daily Multi-Source Weighted-Ensemble Precipitation (MSWEP) dataset. The MSWEP combines gauge-, satellite-, and reanalysis-based data to provide reliable precipitation estimates. The study period comprises the years 1979-2016 (total of 45165 days), and a spatial resolution of 0.5&ordm;, with a total of 259,197 grid points.</p> <p>FILES&nbsp;</p> <p>1. &quot;drought_class&quot;&nbsp; (geotiff)</p> <p>2. &quot;legend_drought_class&quot;&nbsp;(csv): legend values for drought classification.&nbsp;</p> <p>3. &quot;rasterbrick_index_HurstCantorGini&quot; (geotiff): raster with three layers (Hurst, Cantor and Gini Index applied to dry spells).&nbsp;</p> <p>4. &quot;rasterbrick_nindex_spells&quot; (geotiff): raster with four&nbsp;layers (Dry Spell Spells n-index, maximum expected dry spell<em>Y</em><sub>1 </sub>, mean dry spell&nbsp;and mean wet spell).</p> <p>&nbsp;</p> <p>Projection: &quot;+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs&quot;&nbsp;(EPSG.4326)</p>

opencc-by-4.0Jun 2019View details →
zenodo28/100

METEOROLOGICAL AND AGRICULTURAL DROUGHT RISK ASSESSMENT VIA KAPLAN-MEIER SURVIVABILITY ESTIMATOR SUPPLEMENTARY DATA

Open the record for dataset details and reuse information.

opencc-by-4.0Dec 2023View details →
zenodo16/100

code for the article "No evidence of transmitting meteorological droughts of North Atlantic Ocean to the Asian water tower"

<p>This file contains all the codes used in this study along with the data for the main figures.</p>

openAug 2023View details →

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