kartoza / fbf-project

Project data and resources for WB Forecast Based Financing work
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Observe GloFAS website and find out how to retrieve flood forecast/related data #2

Open lucernae opened 5 years ago

lucernae commented 5 years ago

We need to prepare to use GloFAS as our source of flood forecast models. We need to document the location of API access and what kind of data is available.

lucernae commented 4 years ago

Report of my findings:

GloFAS website to know about the methodologies and science behind it:

http://www.globalfloods.eu/general-information/about-glofas/

Look for General Information Section

Available data and services is on Data and Services section.

We particularly interested in the WMS-T service provided here. The URL for the WMS-T is:

http://globalfloods-ows.ecmwf.int/glofas-ows/ows.py

The specific documentation that describes connecting this service to QGIS is here (can be found in Data and Services article) http://www.globalfloods.eu/static/downloads/GloFAS-WMS-T_usermanual.pdf

There is a Map Viewer in the website, you need to register and login to use it. http://www.globalfloods.eu/glofas-forecasting/

Data

We are interested in the following type of datasets:

X Year Return Period Exceedance

It is a hydrological analysis, with X available in 5 or 20 year return period.

Format

WMS-T Each timeslice shows probability of streamflow occuring in that spot (raster). It is not clear the magnitude of the stream at the moment and the resolution is not that good for Indonesia.

Specific region to look at

Choose the rainy season, which is at peak around February 2019, particularly near Karawang - Bekasi Districts or other big river basin. Rainy season were around November to May.

Reporting points

It is a point layer that shows location where more forecast information is available. It is not that many in Indonesia.

Format

Point layer with ID. You need to query again to get a table div with more information. The result returned is in HTML format and not easily used.

Specific region to look at

Not that many. In Java, there is only one available in Tangerang, in Cisadane Basin. It should be clickable using IdentifyFeatures in QGIS.