gc33a the annual cycle of temperature in … · françoise guichard 1*, laurent kergoat 2 , eric...

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Françoise GUICHARD 1* , Laurent KERGOAT 2 , Eric MOUGIN 2 and Frédéric HOURDIN 3 (*) [email protected] 1: CNRM-GAME (CNRS & Météo-France) 2: GET (CNRS, IRD, UPS, CNES) 3: LMD, IPSL (CNRS & UPMC) References Guichard et al. 2009: Surface thermodynamics and radiative budget in the Sahelian Gourma: seasonal and diurnal cycles, J. Hydrology, 375, 161-177. doi : 10.1016/j.jhydrol.2008.09.007 Guichard et al. 2012 and Hourdin et al. 2012: deliverables ESCAPE (D1.1 and D3.2) Hourdin et al., 2010 : AMMA-Model Intercomparison Project, Bull. Amer. Meteor. Soc., doi : 10.1175/2009BAMS2791.1 Roehrig et al. 2012: The present and future of the West African monsoon: a process-oriented assessment of CMIP5 simulations along the AMMA transect. J. Climate, submitted. The ANNUAL CYCLE OF TEMPERATURE in the SAHEL and its CLIMATIC SENSITIVITY GC33A 1004 local meteorological data: SYNOP, Hombori historical data, also GISS & BEST [> 60 years] CRU [> 60 years] and MSU [~ 30 years] gridded datasets high-frequency (15 min) AMMA-Catch ground station data [~ 10 years] reanalyses : ERA40 [ ~ 50 years ] and ERA Interim, NCEP CFSR, MERRA [~ 60 years] CMIP5 climate simulations: amip [~ 30 years] , (nat) historical [> 60 years] 2. OBSERVATIONS, DATASETS, MODELS In the subtropical semi-arid Sahel , a major climatic feature is the bimodal structure of the annual cycle of temperature at the surface, with two maxima surrounding the rainy season (e.g. Guichard et al. 2009). The first one, in Spring, is particularly large ( monthly mean temperature = 35°C at 15°N). [Fig 1] We analyse this specific structure, explore how it has been affected by the multi-decadal warming observed in this region, and evaluate whether reanalyses and climate models (CMIP5) can reproduce observations. Figure 1 : an example of time series of temperature and specific humidity at 2m in the Sahel (function of day of year). Observations from a few years are overplotted, using automa- tic weather station data from Agoufou (Mali, 1.5°W, 15.3°N) – 10-day mean values. Temperature Specific humidity rainfall annual maximum 1. CLIMATOLOGY and QUESTIONS Observations: a strong warming in 60 years, > 1 K in Spring [Fig 2] - larger increase at night. In Spring: weaker short-term inter-annual variability (> 10 years), stronger multidecennal trend. Spring warming: not the same processes at play than during the rainy season (rain-T2m couplings) A strong warming in Spring (already very hot) is likely to have strong societal implications. 3. WARMING TREND and SEASONS Figure 2 : Trends in the annual cycle of temperature (T2m): SYNOP data of Hombori (central Sahel, 15°N) from 1950 to 2009. For each month, the series of dots correspond to monthly-mean values from 1950 to 2009. A linear fit is added (for comparison, a 2 nd order fit is displayed below). The trends over the period is also indicated for each month on the top-right (coloured bars). Dots are coloured red for correlations > 0.4. dominated by short interannual variability multi-decacal trend dominates coupling with rainfall (70's 80's severe droughts) TREND EACH DOT = 1 MONTH FROM 1950 to 2009 5. CMIP5 CLIMATE MODELS: CLIMATOLOGIES & TRENDS 6. SUMMARY , PERSPECTIVES Observations show a strong warming in the Sahel during the past 60 years, with: - no clear warming during the dry cool season ~ JFM, ND “dry” meaning “very low moisture”, not “no rain” - stronger warming trend during warmer moist months ~ AMJ - weaker warming during the full monsoon ~ JAS a large radiative impact of water vapour in Spring ? (monsoon flow), explore coupling of temperature trends with water vapour changes? data & models an impact on the monsoon onset? on rainfall intensity? daily data needed societal repercussions? (agriculture, health...) 0 K 1 K TEMPERATURE TREND 1950-2010, MONTH per MONTH J F M A M J J A S O N D CRU gridded dataset consistent with local SYNOP data ERA40 & ERA-Interim consistent with CRU [Fig 3] MERRA & NCEP-CFSR: data assimilation pb? [Fig 3b] 4. WARMING TREND in REANALYSES Figure 3 (a) same as Fig. 2 except average over 10°W-10°E, 10°N-20°N] from 1958 to 2009 for CRU (top) and ERA-40 (bottom) [ note ERA- Interim is used after 2002 when ERA-40 stops, with adjustement. (b) as (a) except 1979 to 2009, for CRU (top) and reanalyses (3 last plots). (a) (b) also, not shown: (i) NCEP-CFSR cold bias in climatology, (ii) ∃ variables affected by unphysical trends & discontinuities (e.g. MERRA rainfall) very large spread in annual cycles + smooth annual max [Fig 4a] large differences in Tmin (pb with nocturnal boundary layers) no consistency in magnitude & seasonality of warming trends [Fig 4b] , ≠ temperature-humidity couplings (suggests ≠ feedbacks) from weaker to stronger warming trend bcc-csm1-1 CNRM-CM5 HadGEM2-ES MRI-CGCM3 CanESM2 CSIRO-MK3-6-0 IPSL-CM5A-LR NorESM1-M Temperature trend Relative humidity trend models OBS CMIP5 models JJAS: daytime warm bias JFMA: nighttime cold bias Figure 4 (a) monthly-mean diurnal cycles of temperature, observations (grey) and models (pink) in the Sahel (cfSites files, Agoufou pt) (b) temperature and relative humidity trends in CMIP5 climate models as a function of month, period ~[1950,2010], models are ordered by increasing warm trends. (a) (b)

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Page 1: GC33A The ANNUAL CYCLE OF TEMPERATURE in … · Françoise GUICHARD 1*, Laurent KERGOAT 2 , Eric MOUGIN 2 and Frédéric HOURDIN 3 (*) francoise.guichard@.meteo.fr 1: CNRM-GAME (CNRS

Françoise GUICHARD 1*, Laurent KERGOAT 2 , Eric MOUGIN 2 and Frédéric HOURDIN 3

(*) [email protected] 1: CNRM-GAME (CNRS & Météo-France) 2: GET (CNRS, IRD, UPS, CNES) 3: LMD, IPSL (CNRS & UPMC)

References Guichard et al. 2009: Surface thermodynamics and radiative budget in the Sahelian Gourma: seasonal and diurnal

cycles, J. Hydrology, 375, 161-177. doi : 10.1016/j.jhydrol.2008.09.007Guichard et al. 2012 and Hourdin et al. 2012: deliverables ESCAPE (D1.1 and D3.2)Hourdin et al., 2010 : AMMA-Model Intercomparison Project, Bull. Amer. Meteor. Soc., doi : 10.1175/2009BAMS2791.1Roehrig et al. 2012: The present and future of the West African monsoon: a process-oriented assessment of CMIP5

simulations along the AMMA transect. J. Climate, submitted.

The ANNUAL CYCLE OF TEMPERATURE in the SAHEL and its CLIMATIC SENSITIVITYGC33A1004

▶ local meteorological data: SYNOP, Hombori historical data, also GISS & BEST [> 60 years] ▶ CRU [> 60 years] and MSU [~ 30 years] gridded datasets

▶ high-frequency (15 min) AMMA-Catch ground station data [~ 10 years]

▶ reanalyses : ERA40 [ ~ 50 years ] and ERA Interim, NCEP CFSR, MERRA [~ 60 years]▶ CMIP5 climate simulations: amip [~ 30 years] , (nat) historical [> 60 years] …

2. OBSERVATIONS, DATASETS, MODELS

▶ In the subtropical semi-arid Sahel, a major climatic feature is the bimodal structure of the annual cycle of temperature at the surface, with two maxima surrounding the rainy season (e.g. Guichard et al. 2009). The first one, in Spring, is particularly large ( monthly mean temperature = 35°C at 15°N). [Fig 1]

▶ We analyse this specific structure, explore how it has been affected by the multi-decadal warming observed in this region, and evaluate whether reanalyses and climate models (CMIP5) can reproduce observations.

Figure 1 : an example of time series of temperature and specific humidity at 2m in the Sahel (function of day of year).

Observations from a few years are overplotted, using automa-tic weather station data from Agoufou (Mali, 1.5°W, 15.3°N) – 10-day mean values.

Temperature

Specific humidityrainfall

annual maximum

1. CLIMATOLOGY and QUESTIONS▶ Observations: a strong warming in 60 years, > 1 K in Spring [Fig 2] - larger increase at night. ▶ In Spring: weaker short-term inter-annual variability (> 10 years), stronger multidecennal trend. ▶ Spring warming: not the same processes at play than during the rainy season (rain-T2m couplings) ▶ A strong warming in Spring (already very hot) is likely to have strong societal implications.

3. WARMING TREND and SEASONS

Figure 2 : Trends in the annual cycle of temperature (T2m): SYNOP data of Hombori (central Sahel, 15°N) from 1950 to 2009. For each month, the series of dots correspond to monthly-mean values from 1950 to 2009. A linear fit is added (for comparison, a 2 nd order fit is displayed below). The trends over the period is also indicated for each month on the top-right (coloured bars). Dots are coloured red for correlations > 0.4.

dominated by short interannual variability

multi-decacal trend dominates

coupling with rainfall(70's 80's severe droughts)

TRENDEACH DOT

= 1 MONTH

FROM1950 to 2009

5. CMIP5 CLIMATE MODELS: CLIMATOLOGIES & TRENDS

6. SUMMARY , PERSPECTIVES ▶ Observations show a strong warming in the Sahel during the past 60 years, with:

- no clear warming during the dry cool season ~ JFM, ND“dry” meaning “very low moisture”, not “no rain”

- stronger warming trend during warmer moist months ~ AMJ- weaker warming during the full monsoon ~ JAS

▶ a large radiative impact of water vapour in Spring ? (monsoon flow), explore coupling of temperature trends with water vapour changes? data & models

▶ an impact on the monsoon onset? on rainfall intensity? daily data needed

societal repercussions? (agriculture, health.. . )

0 K

1 K

TEMPERATURE TREND 1950-2010, MONTH per MONTH

J F M A M J J A S O N D

▶ CRU gridded dataset consistent with local SYNOP data▶ ERA40 & ERA-Interim consistent with CRU [Fig 3] ▶ MERRA & NCEP-CFSR: data assimilation pb? [Fig 3b]

4. WARMING TREND in REANALYSES

Figure 3

(a) same as Fig. 2 except average over 10°W-10°E, 10°N-20°N] from 1958 to 2009 for CRU (top) and ERA-40 (bottom) [note ERA-Interim is used after 2002 when ERA-40 stops, with adjustement.

(b) as (a) except 1979 to 2009, for CRU (top) and reanalyses (3 last plots).

(a)

(b)

also, not shown: (i) NCEP-CFSR cold bias in climatology, (ii) ∃ variables affected by unphysical trends & discontinuities (e.g. MERRA rainfall)

▶ very large spread in annual cycles + smooth annual max [Fig 4a] ▶ large differences in Tmin (pb with nocturnal boundary layers)▶ no consistency in magnitude & seasonality of warming trends [Fig 4b] , ≠ temperature-humidity couplings (suggests ≠ feedbacks)

from weaker to stronger

warming trend

bcc-csm1-1

CNRM-CM5

HadGEM2-ES

MRI-CGCM3

CanESM2

CSIRO-MK3-6-0

IPSL-CM5A-LR

NorESM1-M

Temperature trend Relative humidity trendmodels

OBSCMIP5 models

JJAS: daytime warm bias

JFMA: nighttime cold bias

Figure 4 (a) monthly-mean diurnal cycles of temperature, observations (grey) and models (pink) in the Sahel (cfSites files, Agoufou pt) (b) temperature and relative humidity trends in CMIP5 climate models as a function of month, period ~[1950,2010], models are ordered by increasing warm trends.

(a)

(b)