near-surface climate extremes in the past 50+ years yun fan huug van den dool cpc/ncep/noaa noaa...

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Near-Surface Climate Extremes in the Past 50+ Years

Yun Fan & Huug van den Dool

CPC/NCEP/NOAA

NOAA 32th Annual Climate Diagnostic & Prediction Workshop 22-26 October, 2007, Tallahassee, FL

...Now the wind grew strong and hard,it worked at the rain crust

in the corn fields.

Little by little the sky was darkened by the mixing dust,

and the wind felt over the earth, loosened the dust and carried it away.

...from The Grapes of Wrath,     written by John Steinbeck.

From NCDC/NOAA

From NCDC/NOAA

1931 present

a. What is a climate extreme event?

b. How about the spatial distribution of extreme events?

c. How do hydrological extremes respond to observed P & T extremes?

d. What are the capability and uncertainty of current land surface data analysis systems to faithfully describe extreme events?

Motivation

A climate extreme event is an anomalous event that departs significantly from its normal state in frequency, magnitude, temporal and spatial extent

What is a climate extreme event?

How to measure a climate extreme event?

Goal: to establish an objective definition based on some thresholds

WMO climatology to define “anomaly”Frequency <= N of recurrence Rarity or small probability of occurrence

Amplitude => N * STDmaxima or minima, exceed threshold, break record

Temporal extent => N*Months time duration or lasting time

Spatial extent => # grid boxes impacted area or region Severity, ……impact (harder: such as loss of life and properties)

10 Land Surface Datasets:

2. Four 50+ Year Retrospective Offline Runs

3. Four Reanalysis Datasets

1. Observations • CPC Monthly Global Land Surface Air Temperature Analysis (1948- present) Y. Fan & H. van den Dool, 2007 • CPC Monthly Global Land Surface Air Temperature Analysis (1948- present) Chen et al 2003

RR - North American Regional Reanalysis (1979 - present) F. Mesinger et al, 2003, 2005

R1 – NCEP-NCAR Global Reanalysis I (1948 - present) E. Kalnay et al, 1996 & R. Kistler et al 2001

R2 – NCEP-DOE Global Reanalysis II (1979 - present) M. Kanamitsu et al, 2002

• ERA40 – ECMWF Reanalysis 40 Project (1957-2002) S. Uppala et al 2005

Noah - Noah LSM Retrospective N-LDAS Run (1948-2002) – present Y. Fan, H, van del Dool, D. Lomann & K. Mitchell, 2003

VIC - VIC LSM Retrospective N-LDAS Run (1950-2000) E. Maurer, A. Wood, J. Adam, D. Lettenmaier & B. Nijssen, 2002

LB - CPC Leaky Bucket Soil Moisture Datasets US_CD: 1931-present: J. Huang, H. van den Dool & K. Georgakakos, 1996, Globe: 1948-present: Y. Fan & H. van den Dool, 2004

Driest Precipitation (1948-present) Wettest

Time

Location

Dry Precipitation Wet

Increase

threshold

# of ‘rare’ events

2.0*sd

3.0*sd

2.5*sd

3.0*sd

2.5*sd

2.0*sd

Precipitation -- Decadal variation of dry extreme (anom < -2mm, 2*sd)

# of ‘rare’ events

1950s

1960s

1970s

1980s

1990s

2000s

# of ‘rare’ events

Precipitation -- Decadal variation of wet extreme (anom>2mm, 2*sd)

1950s

1960s

1970s

1980s

1990s

2000s

Coldest T2m (1948-present) Warmest

Location

Time

Cold T2m Warm

2.0*sd

3.0*sd3.0*sd

2.5*sd 2.5*sd

2.0*sd

T2m -- Decadal variation of cold extreme (anom<30C, 2*sd)

1950s

1960s

1980s

1990s

2000s1970s

T2m -- Decadal variation of warm extreme (anom>30C, 2*sd)

1950s

1960s

1970s 2000s

1990s

1980s

Driest Soil Moisture from CPC Leaky Bucket Wettest (1948-present)

Location

Time

Dry Soil Moisture Wet

2.0*sd

2.5*sd

3.0*sd

2.0*sd

2.5*sd

3.0*sd

SM -- Decadal variation of dry extreme (anom<-10mm, 2*sd)

1950s

1960s

1970s

1980s

1990s

2000s

SM -- Decadal variation of wet extreme (anom>10mm, 2*sd)

1950s

1960s

1970s

1980s

1990s

2000s

1948 present

SM anom: shaded

Disaster right now

Temp increase is a factor!

Most Deadly heat wave in European history

1948 present

Concluding Remarks

1) We are only beginning

2) Climate extreme weather extremes

3) Timing is everything!

4) Due to climate change: +ve T anomalies stronger recently in general

5) Reliability + length of data sets is obviously important

Thanks!

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