As drought early warning information systems evolve around the world, the demand for consistent, high-quality observations, datasets, decision tools, and value-added products and information in support of applications across a range of spatial scales (i.e., local, national, regional, and global) will continue to increase. To meet this demand, traditional climate data, in combination with new technologies such as remote sensing tools, should provide a more complete and accurate depiction of current drought conditions for decision makers. In the United States, the USDM has been a great catalyst for improving drought monitoring strategies, incorporating drought impact information, and connecting early warning with drought risk management. Although many challenges remain, the pace of progress points to continued optimism that drought early warning information systems will continue to improve well into the twenty-first century.
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