A Regional Climate Model Evaluation System: Facilitating the
A Regional Climate Model Evaluation System: Facilitating the Use of Contemporary Satellite and
Other Observations for Evaluating Regional Climate Model Fidelity
D. E. Waliser1,2, J. Kim2, C. Mattmann1,3, C. Goodale1, A. Hart1, P. Zimdars1and P. Lean1
Jet Propulsion Laboratory, California Institute of Technology; 2 JIFRESSE, UCLA; 3University of Southern California
For more information, please email [email protected]
Background: Why model evaluation?
Climate model projections play a crucial
role in developing plans to mitigate and
adapt to climate variations and change
for sustainable developments.
Assessing model performance is an
important step in linking climate
simulation quality to projection
uncertainty and then to climate change
Uncertainties propagate according to model
Bias correction is based on model
Determination of the weights in multi-model
Model evaluation is also a fundamental
part of model development and
improvement (Figure 1).
the Simulated Cold Season Hydrology in California
2008 Mar 2009; NCEP Final Analysis forcing
Seasonal-mean 2-m Air Temperature
Put the OBS & RCM data on the
same grid for comparison
WRF T2 (K): 00UTC
Calculate comparison metrics
AIRS T2 (K): Ascending passes (1:30PM)
Plot the metrics
(Regional Climate Model Evaluation Database)
(Regional Climate Model Evaluation Toolkit)
A large scalable database to store data in
a common format
A library of codes for extracting data
from RCMED and model and for
calculating evaluation metrics
Season-total Precipitation (mm): Multiple
Differences between REF
CPC precipitation, CRU precipitation, 2-m air temperatures
SWR (SNODAS; JPL&U. Colorado)
ERA-Interim (e.g. U(p), V(p), q(p), T(p), SLP)
Process data from various data formats into a common
Library of statistical metrics:
Python routines with plug-ins in other languages (Fortran, c,
idl) to calculate and plot standard metrics of model
performance. (e.g. Bias, RMS error, Anomaly Correlation,
Probability Distribution Functions).
Evaluation of the CORDEX-Africa Multi-Model Ensemble
Preliminary 20-year runs; 1989 2008
Spatial Variability of the
Precipitation Climatology using
PDF Similarity score
Coeff. of Efficiency
Select Data Timestep
10m wind speed
Precipitation Annual Cycle in 6 Regions using
Overland mean (mm/day)
Sample Graphical User
Bias (mm): WRF-CPC
Satellite fly-over timing
Regional Climate Model Evaluation System
Provide a fast, flexible, comprehensive
system to allow easy comparison of
climate models with observations.
Enable researchers to handle a large
volume of data and reduce time taken for
model evaluation studies from weeks to
Help model developers with cutting-edge
observations and diagnostics to evaluate
and improve their models.
Help end-users understand the
uncertainties in climate projections for
the regions of interest.
Efficient: Fast access to reference data
Aeronautics and Space Administration
California Institute of Technology
Copyright 2010. All rights reserved.
Bias (mm): WRF-TRMM
Figure 1. The role of model evaluation in the model
development process and uncertainty estimations.
Bias (K): WRF-AIRS
Intuitive presentation schema can facilitate
intercomparison of multiple models
1.Add additional reference datasets (e.g., other reanalysis, satellite data,
2.Examine remote sensing data for evaluating fine-scale (<10km) regional
3.Additional metrics calculations and visualizations
5.Use the system to evaluate regional/global climate models associated with
National Climate Assessment (NCA), NARCCAP, CMIP5 and CORDEX (Africa and
SNSWLHD, that will deliver outcomes against the quadruple aim. Overarching aims . and objectives. To develop a framework and agreed principles, values and ways of working across COORDINARE and SNSWLHD to enable. improved coordination of care. improved pt experience and...
How to Write a Good Conclusion Answer the question "So What?" Show your readers why this paper was important. Show them that your paper was meaningful and useful. How to Write a Good Conclusion A conclusion should stress the importance...
Newbridge Networks Other titles Times New Roman Symbol Default Design Chapter 5: How to Think about Trends How to Think about Trends Rules for Predicting the Future Hardware, Software, and Applications Hardware, Software, and Applications (continued) Support from Other Fields...
Students' perception of informal learning spaces in an academic library. ... if you need to quickly print something, you just run up the stairs, print it, and head out, you know, if you're in a hurry. ... Students' perception of...
To illuminate a surface you can do either increase the luminous flux (brighter light source) more the object closer Luminous Intensity Luminous intensity is related to the brightness of a light source (the amplitude of the waves) and is simply...
Why Harmonise?. The UK has a wide range of government surveys that provide sources of social and economic information. The Census is the largest and best known, but there are many others covering topics such as economic activity, income, expenditure,...