Soil moisture and climate change Prof. Dr. Daniela Jacob Climate Service Center, Hamburg Max-Planck-Institut für Meteorologie, Hamburg Professor II, Universität Bergen, Norwegen

Picture taken from: lbeg.niedersachsen.de

Land surface temperatures

Troposphere temperature

Ocean surface temperatures

Upper ocean heat content

Humidity

Marine air temperatures

Stratospheric temperature

Sea level rise N. H. thaw depth

Arctic sea ice

Glacier mass balance

N. H. snow cover 1850

1900

1950

2000

1940

2000

Warning indicators: Arndt et al. 2009 (http:www.ncdc.noaa.gov/bams-state-of-the-climate)

Land precipitation is changing significantly over broad areas

Increases

Decreases Smoothed annual anomalies for precipitation (%) over land from 1900 to 2005; other regions are dominated by variability. Credit: IPCC Fourth Assessment Report, Chapter 3, Figure 3.14

Neueste Ergebnisse der globalen Klimamodellierung

© CSC, 2012

Base period for all scenarios: 1971 to 2000

Projected Patterns of Precipitation Changes

Klimaänderungen: Ergebnisse für Europa

Übereinstimmung der Modelle

Niederschlagsänderung Multi-Model-Mean (2021-2050)-(1961-1990) Szenario A1B

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Soil-Moisture-Feedbacks

Courtesy of: Stefan Hagemann, MPI

Evapotranspiration Regimes Soil moisture W coupling via evapotranspiration E Evaporative Fraction EF = actual E / available energy EF Dry

Transitional

Soil moisture limited

Wet Energy limited

EFmax

0

Wpwp

Review on soil moisture feedbacks: Seneviratne et al. (2010)

Wcrit

Soil moisture W

Transitional Soil Wetness WS Number of months/year with Wpwp < WS < Wcrit from ECHAM5/MPIOM ensemble mean monthly climatology for 1961-1990

Teuling et al. (2009)

Driver of evapotranspiration E (moisture and radiation) Estimation based on land surface model simulations Yearly correlations of E with global radiation and precipitation.

Transitional soil wetness WS Number of months/year with Wpwp < WS < Wcrit from ECHAM5/MPIOM ensemble mean monthly climatology

1961-1990

A1B 2071-2100

Similar patterns as E-T correlations of Seneviratne et al. (2006) obtained from three GCMs

Evapotranspiration Regimes Soil moisture W coupling via evapotranspiration E Evaporative Fraction EF = actual E / available energy EF Dry

Transitional

Soil moisture limited

Wet Energy limited

EFmax

0

Wpwp

Review on soil moisture feedbacks: Seneviratne et al. (2010)

Wcrit

Soil moisture W

Droughts and .....

Picture taken from:images.nationalgeographic.com

Changes in heavy precipitation in 1931-2000

Dresden, August 2002

Münster, 17.03.2011

Chirlesti mudflow (Buzau Carpathians)

Product: mud flows connected to long/ heavy precipitation

Scales in Hydrology

Picture taken from: http://www.bgs.ac.uk/changingwatercycle/hydef.html

Addressing the Bandwidth of the Climate Projections

Klimasignalkarten für Deutschland Ziel: Identifikation von Regionen mit “robusten” Klimaänderungssignalen, in denen Klimaänderungen auf Basis aktueller Klimaprojektionen als “sehr wahrscheinlich” anzusehen sind Methode: state-of-the-art Ensemble regionaler Klimaprojektionen (~30 Simulationen) Dreistufiger Robustheitstest: - Einigkeit der Simulationen (agreement, wie IPCC) - Signifikanz der Änderungen - geringe Sensitivität gegenüber kleinen Verschiebungen der betrachteten Zeiträume Zeitraum (hier 2036 – 2065), Schwellwerte, Parameter, räumliche Darstellung wählbar.

2m Temperatur: Alle Regionen zeigen robuste Änderungen

Tage mit >25mm Niederschlag: Regionen die mindestens einen Robustheitstest nicht bestanden haben in grau

Multi-model chain to assess navigation conditions in the Rhine River

Nilson et al. (2010)

Challenges

• Ensemble simulations to take into account the uncertainties in CC development • Bridging the scales from global to local (multi-model chains) • Local recycling and their effects on ecosystems like wetlands and swamps Process understanding: • Land use – land cover changes and their influence on soils and soil moisture • Climate change and ground water Monitoring of on-going changes: • Long term measurements sites, dense and/or representative • Homogenous, quality controlled and accessible data are needed 19

Vielen Dank!

Kontakt: Prof. Dr. Daniela Jacob Climate Service Center Abteilung Klimasystem Fischertwiete 1 20095 Hamburg [email protected] www.climate-service-center.de

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