Pinned Repositories
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水利研究生
aq-biascorrection
Bias correction of air quality CAMS model predictions by using OpenAQ observations.
Beautiful-Visualization-with-python
python数据可视化之美
calib4ffa
Analysis of high flow estimates from hydrologic model calibrated with various objective function
camels
Catchment Attributes and Meteorology for Large-sample Studies
camels-aus-py
Python package to easily load and use the CAMELS-AUS dataset
CAMELS_Matlab
Loads CAMELS data into Matlab struc files.
climada_python
Python (3.8+) version of CLIMADA
climetlab
Python package to easy access to weather and climate data
CWatM
CWATM represents one of the new key elements of IIASA’s Water program to assess water supply, water demand and environmental needs at global and regional level.
dingxinjun's Repositories
dingxinjun/-
水利研究生
dingxinjun/aq-biascorrection
Bias correction of air quality CAMS model predictions by using OpenAQ observations.
dingxinjun/Beautiful-Visualization-with-python
python数据可视化之美
dingxinjun/calib4ffa
Analysis of high flow estimates from hydrologic model calibrated with various objective function
dingxinjun/camels
Catchment Attributes and Meteorology for Large-sample Studies
dingxinjun/camels-aus-py
Python package to easily load and use the CAMELS-AUS dataset
dingxinjun/CAMELS_Matlab
Loads CAMELS data into Matlab struc files.
dingxinjun/climada_python
Python (3.8+) version of CLIMADA
dingxinjun/climetlab
Python package to easy access to weather and climate data
dingxinjun/CWatM
CWATM represents one of the new key elements of IIASA’s Water program to assess water supply, water demand and environmental needs at global and regional level.
dingxinjun/daymet-python-opendap-xarray
Notebooks for Programmatic Access to Daymet V4 Data and Geospatial Analysis in Python and ArcGIS Pro
dingxinjun/dingxinjun
student
dingxinjun/dodola
Prototype application for GCM bias-correction and downscaling
dingxinjun/downscaleCMIP6
Tools for downscaling gridded data using xarray
dingxinjun/globalEF_testPy
Python code for Messager et al. (in review) 'Global and local estimates of environmental flow requirements to sustain river ecosystems are poorly correlated'
dingxinjun/glofrim
Globally Applicable Framework for Integrated Hydrological-Hydrodynamic Modelling (GLOFRIM)
dingxinjun/GRL2022
Code and data instructions in support of "Intermediate and Extreme Warming Scenarios Modify Future Thunderstorm Activity"
dingxinjun/HOOPLA
HOOPLA (HydrOlOgical Prediction LAboratory) is a framework providing a modular system for lumped hydrological modeling.
dingxinjun/Kalman-Filter-In-Weather-Prediction
dingxinjun/MARRMoT
Modular Assessment of Rainfall-Runoff Models Toolbox - Matlab code for 46 conceptual hydrologic models
dingxinjun/NCI_data_training
dingxinjun/Numpy
Numpy Tutorials
dingxinjun/observational_large_ensemble
Python code to create the Observational Large Ensemble.
dingxinjun/PCR-GLOBWB_model
PCR-GLOBWB (PCRaster Global Water Balance) is a large-scale hydrological model intended for global to regional studies and developed at the Department of Physical Geography, Utrecht University (Netherlands). Contact: Edwin Sutanudjaja (E.H.Sutanudjaja@uu.nl).
dingxinjun/pyod
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
dingxinjun/raven
Hydrological modeling and calibration WPS services
dingxinjun/s2s_verification_climpred
This is the `s2s_verification_climpred` tutorial of the ASP 2021 summer school.
dingxinjun/spotpy
A Statistical Parameter Optimization Tool
dingxinjun/waipy
This guide includes a Continuous Wavelet Transform (CWT), significance tests from based on Torrence and Compo (1998) and Cross Wavelet Analysis (CWA) based on Maraun and Kurths(2004).
dingxinjun/wflow
A distributed hydrological modeling platform