Presentation is loading. Please wait.

Presentation is loading. Please wait.

A Brief Introduction to CRU, GHCN, NCEP2, CAM3.5

Published byBridget Aubrie Hamilton Modified over 6 years ago

Similar presentations

Presentation on theme: "A Brief Introduction to CRU, GHCN, NCEP2, CAM3.5"— Presentation transcript:

1 A Brief Introduction to CRU, GHCN, NCEP2, CAM3.5
Yi-Chih Huang

2 CRU (I) Gridded dataset produced by the Climate Research Unit at the University of East Anglia Anomaly method CRUTEM3 Land surface temperature anomalies Monthly since January 1850, on a 5x5 degree grid HadCRUT3 A blend of CRUTEM3 and HadSST2

3 CRU (II) TS3 Variables: precipitation, wet-day frequency, mean temperature, diurnal temperature range, vapor pressure, sunshine, cloud cover, ground frost frequency Monthly during 1901~2006 on a 0.5° × 0.5° grid

4 GHCN Global Historical Climatology Network Anomaly Method
Monthly precipitation anomalies Monthly temperature anomalies 5 X 5 degree grid

5 NCEP-DOE Reanalysis 2 (I)
Monthly, Daily, Sub-Daily for 1979/1/ /12/31 An improved version of the NCEP/NCAR Reanalysis I Same resolution as N/N Reanalysis: T62 L28 Same raw observed data Same dependence of satellite temperature retrievals Fixed known errors in N/N Reanalysis S. H. PAOBs Snow cover Oceanic albedo Discontinuities in radiation fluxes

6 NCEP-DOE Reanalysis 2 (II)
Improved diagnostics Snow/water budget Cloud diagnostics field Winter time precipitation, surface temp and fluxes in high latitudes Tropical precipitation Some improvements in the assimilation system Soil wetness, especially the interannual variations

7 NCEP-DOE Reanalysis 2 (III)
Possible drawbacks Overestimates OLR over warm pool Equatorial upper level moisture much drier over convection area Summer precipitation rates in Arctic region Long term spin-down of soil wetness in polar latitudes

8 CAM3.5 (I) Community Atmospheric Model
1.9x2.5 deg / 26 levels Separates parameterization suite from dynamical core Slab Ocean Model Mixed layer temperature Thermodynamic sea ice model Snow depth, surface temperature, ice thickness, ice fractional coverage, and internal energy

9 CAM3.5 (II) Lin-Rood finite volume dynamic core Deep Convection
Flux-form semi-Lagrangian scheme Sub-cycling within the 2D Lagrangian dynamics Deep Convection Convective momentum transports Dilute plume calculation Cloud Fraction Polar cloud freeze-drying

Download ppt "A Brief Introduction to CRU, GHCN, NCEP2, CAM3.5"

Similar presentations

A thermodynamic model for estimating sea and lake ice thickness with optical satellite data Student presentation for GGS656 Sanmei Li April 17, 2012.

A thermodynamic model for estimating sea and lake ice thickness with optical satellite data Student presentation for GGS656 Sanmei Li April 17, 2012.
Brief Overview of CM-SAF & Possible use of the Data for NCMPs.

Brief Overview of CM-SAF & Possible use of the Data for NCMPs.
Richard P. Allan 1 | Brian J. Soden 2 | Viju O. John 3 | Igor I. Zveryaev 4 Department of Meteorology Click to edit Master title style Water Vapour (%)

Richard P. Allan 1 | Brian J. Soden 2 | Viju O. John 3 | Igor I. Zveryaev 4 Department of Meteorology Click to edit Master title style Water Vapour (%)
Focus on the Terrestrial Cryosphere Cold land areas where water is either seasonally or permanently frozen. Terrestrial Cryosphere 0.25 m Frost Penetration.

Focus on the Terrestrial Cryosphere Cold land areas where water is either seasonally or permanently frozen. Terrestrial Cryosphere 0.25 m Frost Penetration.
Outline Background, climatology & variability Role of snow in the global climate system Indicators of climate change Future projections & implications.

Outline Background, climatology & variability Role of snow in the global climate system Indicators of climate change Future projections & implications.
Evaporative heat flux (Q e ) 51% of the heat input into the ocean is used for evaporation. Evaporation starts when the air over the ocean is unsaturated.

Evaporative heat flux (Q e ) 51% of the heat input into the ocean is used for evaporation. Evaporation starts when the air over the ocean is unsaturated.
(Mt/Ag/EnSc/EnSt 404/504 - Global Change) Observed Surface & Atmosphere (from IPCC WG-I, Chapter 3) Observed Changes in Surface and Atmosphere Climate.

(Mt/Ag/EnSc/EnSt 404/504 - Global Change) Observed Surface & Atmosphere (from IPCC WG-I, Chapter 3) Observed Changes in Surface and Atmosphere Climate.
Coupled GCM The Challenges of linking the atmosphere and ocean circulation.

Coupled GCM The Challenges of linking the atmosphere and ocean circulation.
Cyclone composites in the real world and ACCESS Pallavi Govekar, Christian Jakob, Michael Reeder and Jennifer Catto.

Cyclone composites in the real world and ACCESS Pallavi Govekar, Christian Jakob, Michael Reeder and Jennifer Catto.
GLOBAL PATTERNS OF THE CLIMATIC ELEMENTS: (1) SOLAR ENERGY (Linked to solar insolation & R, net radiation)

GLOBAL PATTERNS OF THE CLIMATIC ELEMENTS: (1) SOLAR ENERGY (Linked to solar insolation & R, net radiation)
Xingren Wu and Robert Grumbine

Xingren Wu and Robert Grumbine
Simulation of the second half of the 20th Century using the MGO AGCM P.V. Sporyshev, V.P. Meleshko, T.V. Pavlova Voeikov Main Geophysical Observatory,

Simulation of the second half of the 20th Century using the MGO AGCM P.V. Sporyshev, V.P. Meleshko, T.V. Pavlova Voeikov Main Geophysical Observatory,
The Eta Regional Climate Model: Model Development and Its Sensitivity in NAMAP Experiments to Gulf of California Sea Surface Temperature Treatment Rongqian.

The Eta Regional Climate Model: Model Development and Its Sensitivity in NAMAP Experiments to Gulf of California Sea Surface Temperature Treatment Rongqian.
Coupled Climate Models OCEAN-ATMOSPHEREINTERACTIONS.

Coupled Climate Models OCEAN-ATMOSPHEREINTERACTIONS.
Applications and Limitations of Satellite Data Professor Ming-Dah Chou January 3, 2005 Department of Atmospheric Sciences National Taiwan University.

Applications and Limitations of Satellite Data Professor Ming-Dah Chou January 3, 2005 Department of Atmospheric Sciences National Taiwan University.
EGU General Assembly 20111 C. Cassardo 1, M. Galli 1, N. Vela 1 and S. K. Park 2,3 1 Department of General Physics, University of Torino, Italy 2 Department.

EGU General Assembly C. Cassardo 1, M. Galli 1, N. Vela 1 and S. K. Park 2,3 1 Department of General Physics, University of Torino, Italy 2 Department.
GEM in the GEWEX Transferability Study Zav Kothavala, Colin Jones, Katja Winger, Bernard Dugas & Ayrton Zadra.

GEM in the GEWEX Transferability Study Zav Kothavala, Colin Jones, Katja Winger, Bernard Dugas & Ayrton Zadra.
Coupling of the Common Land Model (CLM) to RegCM in a Simulation over East Asia Allison Steiner, Bill Chameides, Bob Dickinson Georgia Institute of Technology.

Coupling of the Common Land Model (CLM) to RegCM in a Simulation over East Asia Allison Steiner, Bill Chameides, Bob Dickinson Georgia Institute of Technology.
Operational sub-regional Long-Range Forecasting Unit at RA VI Regional Climate Center – South-East European Virtual Climate Change Center Vladimir Djurdjevic.

Operational sub-regional Long-Range Forecasting Unit at RA VI Regional Climate Center – South-East European Virtual Climate Change Center Vladimir Djurdjevic.
Modern Era Retrospective-analysis for Research and Applications: Introduction to NASA’s Modern Era Retrospective-analysis for Research and Applications:

Modern Era Retrospective-analysis for Research and Applications: Introduction to NASA’s Modern Era Retrospective-analysis for Research and Applications:

Similar presentations

Ads by Google