John Mejia and K.C. King, Darko Koracin Desert Research Institute, Reno, NV 4th NARCCAP Workshop, Boulder, CO, April,

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Presentation transcript:

John Mejia and K.C. King, Darko Koracin Desert Research Institute, Reno, NV 4th NARCCAP Workshop, Boulder, CO, April, Interannual Variability of Surface Temperature and Precipitation using Regional Modeling Over Western North America

CMIP3 and CMIP5: Regional Context How do CMIP3 and CMIP5 participant GCMs compare to reproduce present (“historical”) climate? Are they capable of adequately simulating main climatic features over Western North America? How does Regional Climate Models compared when driven using a “perfect GCM” or reanalysis data? 4th NARCCAP Workshop, Boulder, CO, April,

The role of orographic features in ENSO variability 4th NARCCAP Workshop, Boulder, CO, April, ”….when realistic large-scale circulations are used to drive RCMs, ENSO anomalies can be correctly simulated at the regional scales..” Leung et al (J. of Climate) Anomalies of precipitation and surface temperature during El Niño years in the period Simulations based on MM5.

EPAC vs. CPAC Recent studies have documented structural differences in dynamics, onset, variability, and teleconnection patterns associated with these different ENSO “modes” (Kao and Yu 2009; Kug and Jin 2009; Mo 2010). Regardless such differences: – Is there a significant difference in precipitation patterns over the U.S. when considering either ENSO index? – What is the performance of different RCMs to capture different ENSO modes. 4th NARCCAP Workshop, Boulder, CO, April,

Defining EPAC and CPAC EPAC CPAC SSTs (Met Office - HadISST 1.1) leading empirical orthogonal patterns (Left) and corresponding principal components (Bottom) for: Eastern Pacific (EPAC; “Traditional” El Nino; Cold Tongue) Central Pacific (CPAC; “non-traditional”, “date line”, or “Modoki” El Nino; Warm Pool). ENSO indices (Following Kao and Yu (2009)- J. of Climate). EPAC (28%) CPAC (33%) Very Warm ENSO events…82/83, 97/98 4th NARCCAP Workshop, Boulder, CO, April,

Mo (2010) 4th NARCCAP Workshop, Boulder, CO, April, Sensitivity around ENSO modes

-1 x 82/83 66% 33% 4th NARCCAP Workshop, Boulder, CO, April,

Sensitivity around ENSO modes, cont’d 4th NARCCAP Workshop, Boulder, CO, April,

NARR: MEI-ENSO composites and correlations 4th NARCCAP Workshop, Boulder, CO, April,

The observations: MEI correlations (Lag = -4 months) 4th NARCCAP Workshop, Boulder, CO, April,

In this presentation we only evaluate and analyze RCM outputs forced with NCEP/NCAR reanalysis for GCM DRI-RCM (WRFV3.2-based) (1)36-km (2)12-km Available in our NEVADA CLIMATE CHANGE PORTAL (sensor.nevada.edu) NARCCAP - 50km DRI-RCM: finer grids and different domains.

DRI-WRF-36km NARR-32kmNCEP/NCAR ~250km NARCCAP-WRFG-50km 4th NARCCAP Workshop, Boulder, CO, April,

4th NARCCAP Workshop, Boulder, CO, April, ENSO Modes: MEI (Lag -4 months)

4th NARCCAP Workshop, Boulder, CO, April,

Regional Climate Modeling at DRI Modeling development and customize for the Western U.S. Downscaling Global Climate Model output based on IPCC - CMIP3 (Done!) and CMIP5 (near future) climate change projections. Customized-suitable input for impact studies, including: hydrological catchment scale, ecosystems, agriculture, water & energy, air quality, urban environments. Statistical: BCCA CNRM_CM3 12km Statistical: BCCA GFDL_CM2 12km Dynamical: NARCCAP CCSM3 + CRMC 50km Dynamical: DRI CCSM3 + WRF-36km Snow Water Equivalent [mm] ( ) minus ( ) Snow Water Equivalent - f(Tmean, Precip) [Dai, 2008, GRL] - projections for different CMIP3 GCM output and downscaled using statistical (top) and dynamical (bottom) downscaling approaches. 4th NARCCAP Workshop, Boulder, CO, April,

Conclusions MEI/CPAC/EPAC ENSO modes have very different resulting teleconnections over western US. Our results verify previous finding (Leung’s) on the role of large-scale circulation and topography amplifying ENSO patterns. RCMs for the most part are capturing different ENSO patterns well. 4th NARCCAP Workshop, Boulder, CO, April,

Future Work Assess ENSO-like teleconnection patterns from GCM using ocean-based Indices (Mo 2010) Assess regional sensitivity = ENSO/Regional trends CMIP5+RCM adapting all the learning experiences using CMIP3. 4th NARCCAP Workshop, Boulder, CO, April,

Acknowledgements NSF Cooperative Agreement number EPS DOI-B. of Reclamation: WaterSMART Program. DRI-Department of Atmospheric Sciences PCMDI archives and distributes the WCRP CMIP3 and CMIP5 multi- model datasets. NARCCAP data DRI-Climate Modeling Group members (faculty and students) for their insight and contributions. 4th NARCCAP Workshop, Boulder, CO, April,