Session 5: CORDEX-Asia ESD••••••••••••

Comments: What is the progress on SD group?

Multi model, Hi resolution, Bottom up, ESD group and CMIP6

DD and ESD both work together with Common protocol, case study in small region, improvereference data, Training workshop

Statistical downscaling add value to the efforts of CORDEX Asia service is required

All model have different response show increase in extremes of temperature and precipitation

Under estimate the extreme events of hot days.

BCSD show good performance for annual and seasonal averages

Bias corrected spatial disaggregation (BCSD) is used

37 CPMIP5 models are used rcp8.5 for 1950-2005 and 2026-2050

The social implementation program on climate change adaptation technology

Increase in temperature is from 20 to 22 (2 degree increase)

Peak precipitation linked with peak temperature 19-22 degree

3GCMs*3RCMs RCP4.5

Koji Dairaku
National Research Institute for Earth Science and Disaster Resilience
Hi-Resolution Multi-Ensemble Statistical Downscaling Regional Climate Scenarios•••

RCA4 is best in precipitation in HKH region followed by REMOFor Downscaling QM used

Skill assessment of cordex 4 models group downscaled with different GCMs compared with CRU
dataNuzba Shaheen
Global Change Impact Studies CentrePerformance Evaluation and Statistical Downscaling of CORDEX RCMs for Impact Assessment Studies inSouth Asia and South East Asia

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Comments: Provide results to policy maker and then they involve different stack-holder

Future work: Improved temp. & spat. resolution climate information

Agriculture: Accomplished a case study to assess changing patterns of Growing Degree Days
from North to South in Pakistan, and the trend is significantly increasing in future

RegCM has cold biases like RCA4 for 10 degree

CCAM is best for temperature simulation••••Issues with high resolution data needed

Improved bias correction techniques were used for future trend preserving

Climatic and hydrological aspect were discussed

Use CORDEX data after bais correction for hydrological study.

Validated RegCM modelShaukat Ali
Global Change Impact Studies CentreFuture Projections of Climate Extremes over Pakistan Using QM, DQM and QDM Statistical
Downscaling/Bias-Correction•••••Current work: NEX-GDDP SD models for Indian landmass. Some SD models give less bias thandynamical downscale models over region.

Tools: Analogues, weather classification scheme and regression models, soft computing, neuralnetwork and fuzzy classification

Issue: Coastal and mountainous regions

SD are transfer function, weather typing and weather generator.

Ashwini Aniruddha Kulkarni
Indian Institute of Tropical Meteorology
Statistical Downscaling for South Asian Region•Future work: Examine other SD methods for improved simulation of Indian summer monsoon
rainfall.

•Comments: Hydrologists need point scale information e.g. one day extreme rainfall••••Future work: Comparing various QM methods for improvement

Current work: Producing future period scenario for Multi-RCMError were reduce

PRISM(Parameter-elevation Relationships on Independent slopes Models) based dynamic
downscaling error correction.

5 RCMs downscaled with QM then applied to correct the additional biases using transfer
function 1 km

Seonae Kim
Kongju National University
Statistical Downscaling for Daily Precipitation in Korea Using Combined PRISM, RCM, and Quantile
Mapping: Part 1. Methodology and Evaluation in Historical Simulation•