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Python package to setup and run hydrologic models using data from Earth Engine

License: GNU General Public License v3.0

Python 99.00% Dockerfile 1.00%
hydrological-modelling earth-engine python3-7

hydrate's Issues

KeyError when trying to add MODIS Leaf Area Index (LAI) data

When I use the code
lai = hyd.Parameter(session, "earthengine-public", 'MODIS/061/MOD15A2H', bands=['Lai_500m']) basinLai = lai.getModelDomain(model, scaleFactor=10)

there is a KeyError: 'properties'.

The original code is as follows
lai = hyd.Parameter(session, "earthengine-legacy", "users/kelmarkert/public/lai_climatology_2002_2019")

Is there a way to work directly with the MODIS dataset in Earth Engine for Leaf Area Index and Albedo instead of accessing your repository?

change google cloud api into GEE api

Hi @KMarkert

I am trying to run VIC with the help of hydrate. But I faced with the problem of no access to google cloud api.

I am wondering whether it is possible to change the google cloud api into GEE api in hydrate. Becase I have no google cloud project, hence google cloud api. Other users might aslo have the same problem. In that situation, some hydrate script will be not work.

Any suggestion?

ValueError: Server returned a bad status of 403:Forbidden

Hi @KMarkert

I tried using VIC through hydrate but it threw error at
chirps = hyd.Forcing(session, 'earthengine-public',
'UCSB-CHG/CHIRPS/DAILY', bands=['precipitation'])

and the error is
ValueError: Server returned a bad status of 403:Forbidden

Could you shed some light on what may be the issue?
Thank you very much for your help,

Shri

VIC model LAI veg error

When I run test_vic.py the log ends with the following error:

Model run-time error...
ERROR: cell 1134, veg tile 1: the specified veg class (2) is listed as an overstory class in the veg LIBRARY, but the LAI given in the veg PARAM FILE for this tile for month 1 is 0.

I get the same results whether I run the script/model locally or through Docker.

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