Comments (2)
Thank you so much! This is exactly the type of information I was hoping for. I figured it might require a bit of digging, but couldn't quite pin down where to dig through, so this is appreciated.
I'll be documenting how I go through this, and eventually can share the scripts I create for processing the data to prep it for use in atlite.
CESM is a climate model that provides future projections, rather than reanalysis for historical data, which is the fundamental difference between the two. It is 1 degree spatial resolution, and the relevant variables seem to be anywhere between 6-hourly to daily resolution.
from atlite.
Hi there!
Documentation of the variables we use from ERA5 can be found here: https://confluence.ecmwf.int/display/CKB/ERA5%3A+data+documentation
which is only half the truth, because we somehow have to use harmonised variable names between datasets, so e.g. influx_direct
in atlite
refers to fdir
(Total sky direct solar radiation at surface](https://apps.ecmwf.int/codes/grib/param-db?id=228021) in the documentation.
Downloading and renaming of the variables happens in the dataset module for era5
: https://github.com/PyPSA/atlite/blob/master/atlite/datasets/era5.py
You'll have to work your way through there, we don't have any other documentation right now.
When working your way through the variables you will also notice that e.g. wnd100m
is an aggregate from two ERA5 variables, namely the v100
and u100
components (like your CESM data :).
time scale: I also think it shouldn't be too important for cutout creation and only limit the resolution with which you can get the data output (emphasis on shouldn't: in principle, it is possible to create datasets with lower time resolution)
btw.: If you take notes while working your way through all the variables, maybe you can share them here so we can include them into the documentation? That would be fantastic!
I'm curious to learn more about the CESM dataset: Can you share some more information on it, like coverage (time, space) and what it offers that ERA5/SARAH don't offer, what it can do better than the other two?
from atlite.
Related Issues (20)
- Add heuristic for ERA5 download chunk sizes HOT 3
- Incorrect unit conversion in hydro inflow shift
- ERA5 Solar Position Time Shift Broken for Certain Time Spans HOT 5
- Cutout AttributeError: "EntryPoints" object has no attribute get in Colab HOT 2
- Question about runoff conversion HOT 3
- Include xarray-spatial
- pad_extent leads to rasterio error for global scape
- Licence description on PyPI incorrect HOT 1
- Error cannot convert float nan to int HOT 10
- Issue with build_cutout using alite HOT 5
- reanalysis-era5-single-levels HOT 3
- Atlite errors with ESRI:540060 reprojections and Fiji HOT 6
- Read from url for `excluder.add_raster` and `excluder.add_geometry` HOT 2
- PV conversion: New model based on Bloomfield et al. (2019)
- Wind Conversion: potential bug when power curve does not end with zero after cutout speed HOT 1
- Problems with `convert_and_aggregate` for long timespans? HOT 12
- Data type error when building cutout with SARAH v3 HOT 3
- Merging cutouts / Integrate downloaded SARAH data into existing ERA-5 cutout HOT 1
- Setting the "capacity_factor_timeseries = True" the results seem not to change HOT 2
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from atlite.