Comments (1)
- Select all observations in x at less than x meters from a ref station (param option: distance x in meters)
- Measure the anomaly in temperature for these observations in regard to the ref
- Compute the average bias (param option: per hour of the day)
- Remove this bias to all the observations
- Return obs corrected and the average bias.
from brassens.
Related Issues (18)
- load_wu()
- download_pa()
- download_ghcnh()
- est_error_prior()
- merge()
- Write all roxygen
- Test all functions
- format_area()
- Add "| MULTIPOLYGON" to find_ghcnh_polygon() line 8
- WeatherUnderground inventory HOT 2
- load_pa()
- Keep only reliable GHCNH
- Create test data
- Test CrowdQC+ on tn and tx (instead of hourly temp)
- Credits HOT 1
- Create clean vignettes
- Clean plots functions
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 brassens.