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A weather station is a facility, either on land or sea, with instruments and equipment for measuring atmospheric conditions to provide information for weather forecasts and to studythe weather and climate. The measurements taken include temperature, atmospheric pressure,humidity, wind speed, wind direction, and precipitation amounts. Wind measurements are takenwith as few other obstructions as possible, while temperature and humidity measurements arekept free from direct solar radiation, or insolation. Manual observations are taken at least once daily, while automated measurements are taken at least once an hour. Weather conditions out at sea are taken by ships and buoys, which measure slightly different meteorological quantities such as sea surface temperature (SST), wave height, and wave period. Drifting weather buoys outnumber their moored versions by a significant amount.

Show weather stations

🛈 Click a station for more informations.

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Average monthly precipitation per commune.

Select a month:

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Rivers in Morocco

Morocco have multiple rivers such as : Bouregreg, Moulouya, Ouargha, Oum Errabiaa, Ourika, Sebou, Souss, Tensift, Drâa ...

SHOW RRIVERS

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Render a raster of precipitation.
Caution! It takes time!

Select a range:

Select a month:

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Enter your sql queries for attribute display in a table ⬛

Description of available data:

Table	Columns
aeroports	id, geom, "OID_", "Name", "SymbolID", "AltMode", "Base", "Snippet", "PopupInfo", "HasLabel", "LabelID"
communes	id, geom, "OBJECTID", "NAME", "mean2018"
maroc	id, geom, "name", "descriptio"
stations	id, geom, "Code", "Nom", "Bassin", "Type"

Try queries like:

select id, "NAME", mean2018 from communes where mean2018 > 80

QUERY Clear

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Direct connection to Postgres database with PostGIS extension

For these spatial queries please fetch the geometry as GeoJSON and alias itgeom as: ST_AsGeoJSON(geom) AS geom

Description of available tables:

Table	Columns
aeroports	id, geom, "OID_", "Name", "SymbolID", "AltMode", "Base", "Snippet", "PopupInfo", "HasLabel", "LabelID"
communes	id, geom, "OBJECTID", "NAME", "mean2018"
maroc	id, geom, "name", "descriptio"
stations	id, geom, "Code", "Nom", "Bassin", "Type"

Try queries like:

SELECT id, ST_AsGeoJSON(geom) AS geom FROM maroc

SELECT id, ST_AsGeoJSON(geom) AS geom FROM communes WHERE mean2018 > 50

SELECT a.id, ST_AsGeoJSON(c.geom) AS geom FROM communes AS c, aeroports AS a WHERE ST_Intersects(a.geom, c.geom)

QUERY Clear

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!!⚠️ Experimental ⚠️!!

Monthly precipitation forecast in the commune of Khouribga

We assume that we are in late 2018 (according to the data we have), we have trained a model LSTM - details here -using data from 2000 to 2018.

We'll forecast precipitation January 2019; but normally we'll have data of each month of the 12 months before the current month and forecast it.

Try with any 12 months to forecast with the trained LSTM model.

Fill with 2018 data

Predict for next month