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Global Drought Monitoring Service through the GEOSS Architecture ...

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Architectural Implementation Pilot, Phase 3 Version: 2.0<br />

<strong>Global</strong> <strong>Drought</strong> <strong>Monitoring</strong> and European <strong>Drought</strong><br />

Observatory-Water SBA Engineering Report<br />

Date: 11/Feb/2011<br />

However, <strong>the</strong>re are good reasons for embarking upon a bottom-up system. A global top<br />

down system can imply that drought is present within a local area, although <strong>the</strong> local area might<br />

be drought-free due to availability of secondary sources of water such as groundwater. Having<br />

participation of members who are familiar with local conditions on <strong>the</strong> ground is invaluable in<br />

setting up a global drought monitoring system. A global network of national<br />

hydrometeorological service and ministry-based drought experts can provide <strong>the</strong> expertise to<br />

carry out retrospective validations of drought forecasts, along with fine tuning of <strong>the</strong> drought<br />

forecasting system, part of <strong>the</strong> life cycle by which “experimental” (research stage product)<br />

becomes “operational.”<br />

<strong>Drought</strong> monitoring and forecasting is intended for applications. For example soil<br />

moisture monitoring and forecasting can support farmers’ activities. Since <strong>the</strong> size of farms may<br />

vary, a drought early warning system is best applied at local scales. This means that a coarsescale<br />

system may not be very valuable for providing decision support. A drill down system is<br />

built upon a combined bottom up-top down system, in which <strong>the</strong> highest resolution drought maps<br />

of <strong>the</strong> system, i.e., those at river basin scale or national scale can be used for drought early<br />

warning applications or used for agricultural support.<br />

3.2.3 Soil Moisture and Agricultural <strong>Drought</strong> <strong>Monitoring</strong> Requirement<br />

Given <strong>the</strong> importance of soil moisture in agricultural drought monitoring, and <strong>the</strong><br />

importance of agriculture in <strong>the</strong> world food problem, remote sensing-based and modeled-based<br />

soil moisture should be utilized within <strong>the</strong> system.<br />

3.2.4 Republication of information to help decision makers facilitate drought<br />

decision making<br />

Integrating toge<strong>the</strong>r multiple disciplinary and cross-disciplinary information, such as<br />

drought severity information and agricultural production data, require different informatics<br />

strategies to carry out such integration. While layers can be added toge<strong>the</strong>r and removed within<br />

a Geographic Information System (GIS), more sophisticated tools are required in order to<br />

assemble all of <strong>the</strong> information in a form that can be immediately used for decision making. As<br />

noted by Lemon et. al (2010): “The ‘Discover, Display, and Download’ Use Case has misled us.<br />

No one simply wants to find, look at, and collect data. To <strong>the</strong> contrary, <strong>the</strong>y all want to do<br />

something with <strong>the</strong> data: subject it to some analysis, make a map, or prepare a basis for making<br />

rapid decisions.” Search and discovery alone will not make <strong>GEOSS</strong> a viable system, valuable to<br />

end users: its information has to be repackaged into a user-friendly form that provides<br />

application knowledge and accelerates decision making.<br />

3.2.5 Hydrologic <strong>Drought</strong> <strong>Monitoring</strong> for Semi-Arid Areas and Meeting<br />

Hydrologic <strong>Drought</strong> User Requirement <strong>through</strong> Semantics<br />

The hydrologic drought indicator user requirement creates a need for assembling<br />

information on water budget components, such as groundwater, streamflow, precipitation, soil<br />

water, snow cover, etc. The sheer volume of information, particularly if assembled over large<br />

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