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Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic...

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Precipitation variability increases in a warming climate Angie Pendergrass NCAR CGD / CCR with input (recently) from Reto Knutti, (intermittently) Ben Sanderson, (less recently) Flavio Lehner and Clara Deser Regional and Global Climate Modeling Program Cooperative Agreement DE-FC02-97ER62402
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Page 1: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Precipitation variabilityincreases in a warming climate

Angie Pendergrass NCAR CGD / CCR

with input (recently) from Reto Knutti,(intermittently) Ben Sanderson,

(less recently) Flavio Lehner and Clara Deser

Regional and Global Climate Modeling Program Cooperative Agreement DE-FC02-97ER62402

Page 2: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

mean extremesvariability

1-3

[%K-

1 ]

>=7

???

Held and Soden 2006many others before and after

Trenberth 1999Allen and Ingram 2002many others before and after

ImpactsSociety: Growth of children under 5 (Shively 2017)Science: Some studies assume no change in variability (Thompson et al 2015) or a change following mean (Delta-change method, widely used in hydrology)

Page 3: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Rind et al 1989

Precip variance increases with mean

1990 1995 2000 2005 2010 2015

Page 4: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Time

Precip

0

Page 5: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Time

Precip

0

Page 6: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Time

Precip

0

Mean

Standard deviation

Page 7: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Time

Precip

0

Mean

Standard deviation

~ 2 %/K

Page 8: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Rind et al 1989

Precip variance increases with mean

Mearns…. Shields 1995Variability of daily precip increases in regional simulations

Voss 2002

Groisman et al 1999

Raisanen 2002

CMIP2 variability increases with moistureor mean precip

Zwiers and Kharin 1998Precip standard deviation increases 7% in 2xCO2

Tsonis 1996

Karl et al 1994

1990 1995 2000 2005 2010 2015

Page 9: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Vertical velocity

Specific humidity

Rain rate

Page 10: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Moistening increases precipitation variability

MoistenedInitial

Page 11: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Rind et al 1989

Precip variance increases with mean

Mearns…. Shields 1995Variability of daily precip increases in regional simulations

Raisanen 2002

CMIP2 variability increases with moisture or mean precip

Hunt and Elliott 2004Changes in precip variability not important at the grid point lev

Zwiers and Kharin 1998Precip standard deviation increases 7% in 2xCO2

Tsonis 1996

Karl et al 1994

1990 1995 2000 2005 2010 2015

Page 12: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

“…at the grid box level it is also difficult to differentiate between PDFsfor control and green-house conditions for surface temperature andrainfall. Time series of climatic variables for selected geographical pointsor regions highlight the continuing influence of interannual climaticvariability throughout the greenhouse simulations.”

Hunt and Elliott 2004

Page 13: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Wetherald 2009, 2010

Rind et al 1989

Precip variance increases with mean

Mearns…. Shields 1995Variability of daily precip increases in regional simulations

Raisanen 2002

CMIP2 variability increases with moisture or mean precip

Giorgi and Bi 2005

Raisanen 2005

Hunt and Elliott 2004Changes in precip variability not important at the grid point lev

Zwiers and Kharin 1998Precip standard deviation increases 7% in 2xCO2

Tsonis 1996

Karl et al 1994

1990 1995 2000 2005 2010 2015

Page 14: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Bonfils et al 2015ENSO precip change

Chung et al 2014ENSO precip change

Huang and Xie 2015ENSO precip change

Huang 2016ENSO precip change

Power et al 2013ENSO precip change

Seager et al 2012Hydroclimate variability and warming: ENSO

1990 1995 2000 2005 2010 2015

Boer 2009Decadal potential predictability

Page 15: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Key questions• Are there important changes in precipitation

variability with warming? • At what rate does precipitation variability

change? What drives its changes?– Mean precipitation? – Moisture?

• How does changing precipitation variability depend on timescale? – Is ENSO special?

Page 16: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Model simulations

• Historical+RCP8.5 scenarios, 1950-2100– CESM1 Large Ensemble: 40 members– GFDL-ESM2M Large Ensemble: 30

members– CMIP5 ensemble: 36 models

• Metric: Standard deviation

Page 17: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

CMIP5 multi-model mean (2071-2100)-(1976-2005)

Change in standard deviation of seasonal-mean precipitation

[% K-1]

Page 18: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Spatially aggregated precipitation variability change

SummerExtratropics

Spatial aggregation: Fischer et al

Page 19: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Spatially aggregated precipitation variability changeSummerExtratropics

Page 20: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Spatially aggregated precipitation variability changeSummerExtratropics

Page 21: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Spatially aggregated precipitation variability changeSummerExtratropics

Null hypothesis: Ensemble members randomly drawn from the base period compared to each other

Page 22: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Spatially aggregated precipitation variability change

Extratropical land

Page 23: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Spatially aggregated precipitation variability change

Page 24: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Spatially aggregated precipitation variability change

Page 25: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Are there important changes in precipitation variability with warming?

• Yes; precipitation variability increases over a larger fraction of land area than it decreases

Page 26: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

At what rate does precipitation variability change? What drives it?

1. Increasing mean precipitation?

Page 27: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Precipitation standard deviation change

Tropical land

Multi-model, seasonal mean.30-year periods centered on

progressive decades, compared to 1976-2005

Page 28: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

TTropical land

Precipitation standard deviation change

Standard deviation change

Page 29: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

TTropical land

Precipitation standard deviation change

Standard deviation change

Mean change

Page 30: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

T

T

Page 31: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

(%/K)

Mean change

Standard deviationchange

TJJA DJF

T

CMIP5 multi-model mean, (2071-2100) – (1976-2005)

Page 32: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

At what rate does precipitation variability change? What drives it?

1. Increasing mean precipitation?

1. Increasing moisture?

Page 33: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence
Page 34: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Moisture

Page 35: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

At what rate does precipitation variability change? What drives it?

• The standard deviation increases at least as much as mean precipitation, but less than moisture

• Explanation: Increasing moisture along with weakening circulation (Vecchi and Soden 2007)

Page 36: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence
Page 37: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence
Page 38: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence
Page 39: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence
Page 40: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Precip variance response differs between CESM1 and GFDL large ensembles

Tropical land

Page 41: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Isolate neutral ENSO years

1950-2000, 2050-2100 (following Power et al 2013)Neutral ENSO defined as PC1 of tropical surface temperature <0.5std

Tropical land

Page 42: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

ENSO’s role: spatially limited

[%]

Fraction of variance (which is additive): Take the square

Page 43: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Standard deviation by timescale: A continuum

Page 44: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Standard deviation by timescale: A continuum

Page 45: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

CMIP5multi-model, annual mean(2071-2100) - (1976-2005)

T

T

T

T

Mean, Variability,Extremes

Change in mean precipitation

Change in standard deviation of seasonal

mean precipitation

Change in standard deviation of daily

precipitation

Change in annual maximum daily

precipitation (rx1day)

(%/K)

T

T

Page 46: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

GHCN-Daily GSN network station observations

(%/K)

Observed changes

Page 47: Angie Pendergrass NCAR CGD / CCR · 1990 1995 2000 2005 2010 2015 ... Time series of climatic variables for selected geographical points or regions highlight the continuing influence

Key points- Precipitation variability increases over most land

areas, consistent with the expectation from increases in mean and extreme precipitation.

- The rate that precipitation variability increases is at least as high as mean precipitation and no higher than the rate of moistening.

- The rate of increase of variability is similar across timescales from daily to decadal.

- Observed variability of daily precipitation increased at most stations than in the last half of the 20th century.


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