Presentation is loading. Please wait.

Presentation is loading. Please wait.

Water vapour changes in PDRMIP simulations

Published bySara Isaksen Modified over 5 years ago

Similar presentations

Presentation on theme: "Water vapour changes in PDRMIP simulations"— Presentation transcript:

1 Water vapour changes in PDRMIP simulations
Øivind Hodnebrog, Gunnar Myhre, Bjørn H. Samset + PDRMIP PDRMIP, London 11-12 May, 2017

2 Hydrological sensitivity
Kvalevåg et al. (2013, GRL) defined a new hydrological sensitivity as “the change in water vapour lifetime per change in surface temperature caused by a radiative forcing” Explored for different drivers in one model (CAM4) Slowdown of hydrological cycle for all drivers Lifetime of water vapour responds only to stabilization changes from atmospheric absorption slow fast Kvalevåg et al. (2013, GRL)

3 Hydrological sensitivity
Slow δ (days/K) slow fast Kvalevåg et al. (2013, GRL)

4 Hydrological sensitivity
Fast δ (days/K) slow fast Kvalevåg et al. (2013, GRL)

5 Hydrological sensitivity
Total δ (days/K) slow fast Kvalevåg et al. (2013, GRL)

6 Hydrological sensitivity
Total δ (days/K)

7 Water vapour lifetime δ (days/K) Δτ (days)

8 Water vapour lifetime τ (days) Δτ (days)

9 Water Column Relative change normalized by ∆Ts (%/K) Model mean
prw variable is missing in data from IPSL and HadGEM3. MPI has been skipped.

10 Water Column Relative change normalized by ∆Ts (%/K) BCx10

11 Further analysis Evaluation of water column against MODIS/ECMWF
Water vapour lifetime change (δ) in historical and future runs in CMIP5 models Surface relative humidity change – land/sea contrast Vertical profiles of specific humidity CO2x2 BCx10 Fixed SST

12 Extra

13 Water Column Relative change normalized by ∆Ts (%/K) CO2x2

14 Absolute change in near-surface RH (%) – coupled
hurs: MIROC, HadGEM2, CanESM2, CAM4, CAM5, NorESM1 hur (lev=1 of regridded fields): HadGEM3, GISS, IPSL

15 Absolute change in near-surface RH (%) – fsst
hurs: MIROC, HadGEM2, CanESM2, CAM4, CAM5, NorESM1 hur (lev=1 of regridded fields): HadGEM3, GISS, IPSL

16 Evaporation Relative change normalized by ∆Ts for each driver (%/K)

17 Specific humidity profiles
CO2x2 BCx10 (scaled by ΔTs) Coupled Fixed SST

Download ppt "Water vapour changes in PDRMIP simulations"

Similar presentations

© University of Reading Chapman Conference on Atmospheric Water Vapor and Its Role in Climate Tropospheric Water Vapour and.

© University of Reading Chapman Conference on Atmospheric Water Vapor and Its Role in Climate Tropospheric Water Vapour and.
University of Reading 2007www.nerc-essc.ac.uk/~rpa Monitoring satellite observations and model simulations of changes in the atmospheric.

University of Reading 2007www.nerc-essc.ac.uk/~rpa Monitoring satellite observations and model simulations of changes in the atmospheric.
University of Reading 2007www.nerc-essc.ac.uk/~rpa Observed and simulated changes in water vapour, precipitation and the clear-sky.

University of Reading 2007www.nerc-essc.ac.uk/~rpa Observed and simulated changes in water vapour, precipitation and the clear-sky.
1 Dynamical Polar Warming Amplification and a New Climate Feedback Analysis Framework Ming Cai Florida State University Tallahassee, FL 32306

1 Dynamical Polar Warming Amplification and a New Climate Feedback Analysis Framework Ming Cai Florida State University Tallahassee, FL 32306
Observed Tropical Expansion: Impact on the Hydrological and Energy Cycles New Investigator Research Summary Joel Norris (Lead PI, UC San Diego) Robert.

Observed Tropical Expansion: Impact on the Hydrological and Energy Cycles New Investigator Research Summary Joel Norris (Lead PI, UC San Diego) Robert.
DOE BER Climate Modeling PI Meeting, Potomac, Maryland, May 12-14, 2014 Funding for this study was provided by the US Department of Energy, BER Program.

DOE BER Climate Modeling PI Meeting, Potomac, Maryland, May 12-14, 2014 Funding for this study was provided by the US Department of Energy, BER Program.
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 (%)
Climate Change in the Sahel Michela Biasutti in collaboration with : Alessandra Giannini, Adam Sobel, Isaac Held.

Climate Change in the Sahel Michela Biasutti in collaboration with : Alessandra Giannini, Adam Sobel, Isaac Held.
Land-ocean surface temperature contrast and radiative forcing Hugo Lambert University of Exeter thanks to Mark Webb and Manoj Joshi.

Land-ocean surface temperature contrast and radiative forcing Hugo Lambert University of Exeter thanks to Mark Webb and Manoj Joshi.
Processes responsible for polar amplification of climate change Peter L. LangenCentre for Ice and Climate Niels Bohr InstituteUniversity of Copenhagen.

Processes responsible for polar amplification of climate change Peter L. LangenCentre for Ice and Climate Niels Bohr InstituteUniversity of Copenhagen.
High Climate Sensitivity Suggested by Satellite Observations: the Role of Circulation and Clouds AGU Fall Meeting, San Francisco, CA, 9-13 December, 2013.

High Climate Sensitivity Suggested by Satellite Observations: the Role of Circulation and Clouds AGU Fall Meeting, San Francisco, CA, 9-13 December, 2013.
Page 1 Met Office contribution to RL5 Task 5.1.2. ‘Large-scale interactions between atmospheric moisture and water availability - coupling of atmospheric.

Page 1 Met Office contribution to RL5 Task ‘Large-scale interactions between atmospheric moisture and water availability - coupling of atmospheric.
© Crown copyright Met Office AR5 Proposed runs for CMIP5 John Mitchell, after Karl Taylor, Ron Stouffer and others ENES, arch 2009.

© Crown copyright Met Office AR5 Proposed runs for CMIP5 John Mitchell, after Karl Taylor, Ron Stouffer and others ENES, arch 2009.
CLIVAR/OCB Working Group: Oceanic Carbon Uptake in CMIP5 Models Ocean CO 2 uptake (Gt/yr) (climate change - control) -2 0 1 Friedlingstein et al. [2006]

CLIVAR/OCB Working Group: Oceanic Carbon Uptake in CMIP5 Models Ocean CO 2 uptake (Gt/yr) (climate change - control) Friedlingstein et al. [2006]
Atmospheric Hydrological Cycle in the Tropics in Twentieth Century Coupled Climate Simulations Hailan Wang and William Lau Laboratory for Atmospheres,

Atmospheric Hydrological Cycle in the Tropics in Twentieth Century Coupled Climate Simulations Hailan Wang and William Lau Laboratory for Atmospheres,
© University of Reading Hadley Centre Workshop: Improving predictions of the large- scale hydrological cycle Agreement/discrepancies.

© University of Reading Hadley Centre Workshop: Improving predictions of the large- scale hydrological cycle Agreement/discrepancies.
Trends in Tropical Water Vapor (1980-2004): Satellite and GCM Comparison Satellite Observed ---- Model Simulated __ Held and Soden 2006: Robust Responses.

Trends in Tropical Water Vapor ( ): Satellite and GCM Comparison Satellite Observed ---- Model Simulated __ Held and Soden 2006: Robust Responses.
Aerosol Indirect Effects in CAM A. Gettelman (NCAR), F. Vitt (NCAR), P. Hess (Cornell) H. Morrison (NCAR), P. R. Field (Met Office), S.J. Ghan (PNNL)

Aerosol Indirect Effects in CAM A. Gettelman (NCAR), F. Vitt (NCAR), P. Hess (Cornell) H. Morrison (NCAR), P. R. Field (Met Office), S.J. Ghan (PNNL)
A Changing Character of Precipitation in a Warming World: Physical Drivers Richard Allan Department of Meteorology, University of Reading www.met.reading.ac.uk/

A Changing Character of Precipitation in a Warming World: Physical Drivers Richard Allan Department of Meteorology, University of Reading
Hydrologic Losses - Evaporation Learning Objectives Be able to calculate Evaporation from a lake or reservoir using the following methods – Energy Balance.

Hydrologic Losses - Evaporation Learning Objectives Be able to calculate Evaporation from a lake or reservoir using the following methods – Energy Balance.

Similar presentations

Ads by Google