PRECIPITATION AND TEMPERATURE CLIMATE INDICES IN SOUTH AMERICA AND SÃO PAULO STATE, BRAZIL
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Transcript of PRECIPITATION AND TEMPERATURE CLIMATE INDICES IN SOUTH AMERICA AND SÃO PAULO STATE, BRAZIL
PRECIPITATION AND TEMPERATURE PRECIPITATION AND TEMPERATURE CLIMATE INDICES IN SOUTH AMERICA CLIMATE INDICES IN SOUTH AMERICA
AND SÃO PAULO STATE, BRAZILAND SÃO PAULO STATE, BRAZIL
Amanda Sabatini DufekAmanda Sabatini DufekTércio AmbrizziTércio Ambrizzi
Rosmeri Porfirio da RochaRosmeri Porfirio da Rocha
Department of Atmospheric Sciences University of São Paulo, BrazilDepartment of Atmospheric Sciences University of São Paulo, Brazil
OBJECTIVESOBJECTIVES
• Some indices based on daily data of precipitation and maximum and minimum
temperature will be calculated for present climate (1960-1990) over South America
and São Paulo State, Brazil, based on climate simulations data from a global
climate model (HadAM3) and a regional climate model (RegCM3) and also using
observational data from many available stations in the region.
• The main goal of this work is to compare the simulated and observed indices
over South America and São Paulo State, Brazil, during the period 1960-1990.
DATADATA
SIMULATION DATA
• The HadAM3 global climate model has a horizontal resolution of 1.25 of latitude by
1.875 of longitude and 19 vertical hybrid coordinates levels. The simulation data is
from 1960 to 1990.
• The RegCM3 regional climate model was integrated over South America with a
spatial resolution of 60km and 23 vertical sigma levels (top of the model at 50hPa).
The simulation was done for the same period of the HadAM3. The atmospheric initial
boundary conditions and the Sea Surface Temperature (SST) for the RegCM3
simulation were provided by the HadAM3 model.
OBSERVATIONAL DATA
• Precipitation and Temperature maximum and minimum daily data obtained from the
Agronomic Institute of Campinas (IAC), Department of Water and Electric Energy
(DAEE), National Institute of Meteorology (INMET) and Água Funda station.
INDICESINDICES
• Maximum Temperature
Warm days (wd) – Percentage of days with Tmax>90th percentis (%)
Cold days (cd) – Percentage of days with Tmax<10th percentis (%)
• Minimum Temperature
Warm nights (wn) – Percentage of days with Tmin>90th percentis (%)
Cold nights (cn) – Percentage of days with Tmin<10th percentis (%)
• Precipitation
prcptot – represents the total annual precipitation amount (mm)
r95p – represents the amount of rainfall falling above the 95th percentiles (mm)
rx5day – is the maximum precipitation in a year falling over 5 day (mm)
cdd – is the length of the longest dry spell in a year (day)
cwd – defines the longest wet spell in a year (day)
• MAXIMUM TEMPERATURE INDICES
• CORRELATION BETWEEN MODELXOBS
• ANNUAL TRENDS MODELXOBS
• MINIMUM TEMPERATURE INDICES
• CORRELATION BETWEEN MODELXOBS
• ANNUAL TRENDS MODELXOBS
• PRECIPITATION INDICES
• CORRELATION BETWEEN MODELXOBS
• ANNUAL TRENDS MODELXOBS
RESULTSRESULTS
RESULTS RESULTS – MAXIMUM TEMPERATURE INDICE: COLD DAYS– MAXIMUM TEMPERATURE INDICE: COLD DAYS CORRELATION BETWEEN MODELXOBSCORRELATION BETWEEN MODELXOBS
HadAM3 Simulation x ObservationHadAM3 Simulation x Observation RegCM3 Simulation x ObservationRegCM3 Simulation x Observation
+ = 10o = 3 (se,co)
+ = 11o = 2 (co)
RESULTS RESULTS – MAXIMUM TEMPERATURE INDICE: COLD DAYS– MAXIMUM TEMPERATURE INDICE: COLD DAYS CORRELATION BETWEEN MODELXOBSCORRELATION BETWEEN MODELXOBS
HadAM3 Simulation x ObservationHadAM3 Simulation x Observation RegCM3 Simulation x ObservationRegCM3 Simulation x Observation
+ = 6o = 0
+ = 3o = 3
RESULTSRESULTS
• MAXIMUM TEMPERATURE INDICES
• CORRELATION BETWEEN MODELXOBS
• ANNUAL TRENDS MODELXOBS
• MINIMUM TEMPERATURE INDICES
• CORRELATION BETWEEN MODELXOBS
• ANNUAL TRENDS MODELXOBS
• PRECIPITATION INDICES
• CORRELATION BETWEEN MODELXOBS
• ANNUAL TRENDS MODELXOBS
RESULTS RESULTS – MAXIMUM TEMPERATURE INDICE: COLD DAYS– MAXIMUM TEMPERATURE INDICE: COLD DAYS ANNUAL TREND MODELXOBSANNUAL TREND MODELXOBS
HadAM3 Simulation x ObservationHadAM3 Simulation x Observation RegCM3 Simulation x ObservationRegCM3 Simulation x Observation
OBS. SIM. OBS. SIM.
++(oo) = 10o+(+o) = 3 (su,se)
++(oo) = 7o+(+o) = 6
RESULTS RESULTS – MAXIMUM TEMPERATURE INDICE: COLD DAYS– MAXIMUM TEMPERATURE INDICE: COLD DAYS ANNUAL TREND MODELXOBSANNUAL TREND MODELXOBS
HadAM3 Simulation x ObservationHadAM3 Simulation x Observation RegCM3 Simulation x ObservationRegCM3 Simulation x Observation
OBS. SIM. OBS. SIM.
++(oo) = 1o+(+o) = 5
++(oo) = 2o+(+o) = 4
RESULTSRESULTS
• MAXIMUM TEMPERATURE INDICES
• CORRELATION BETWEEN MODELXOBS
• ANNUAL TRENDS MODELXOBS
• MINIMUM TEMPERATURE INDICES
• CORRELATION BETWEEN MODELXOBS
• ANNUAL TRENDS MODELXOBS
• PRECIPITATION INDICES
• CORRELATION BETWEEN MODELXOBS
• ANNUAL TRENDS MODELXOBS
RESULTS RESULTS – MINIMUM TEMPERATURE INDICE: WARM NIGHTS– MINIMUM TEMPERATURE INDICE: WARM NIGHTS CORRELATION BETWEEN MODELXOBSCORRELATION BETWEEN MODELXOBS
HadAM3 Simulation x ObservationHadAM3 Simulation x Observation RegCM3 Simulation x ObservationRegCM3 Simulation x Observation
+ = 13o = 1 (su)
+ = 14o = 0
RESULTS RESULTS – MINIMUM TEMPERATURE INDICE: WARM NIGHTS– MINIMUM TEMPERATURE INDICE: WARM NIGHTS CORRELATION BETWEEN MODELXOBSCORRELATION BETWEEN MODELXOBS
HadAM3 Simulation x ObservationHadAM3 Simulation x Observation RegCM3 Simulation x ObservationRegCM3 Simulation x Observation
+ = 6o = 0
+ = 6o = 0
RESULTSRESULTS
• MAXIMUM TEMPERATURE INDICES
• CORRELATION BETWEEN MODELXOBS
• ANNUAL TRENDS MODELXOBS
• MINIMUM TEMPERATURE INDICES
• CORRELATION BETWEEN MODELXOBS
• ANNUAL TRENDS MODELXOBS
• PRECIPITATION INDICES
• CORRELATION BETWEEN MODELXOBS
• ANNUAL TRENDS MODELXOBS
RESULTS RESULTS – MINIMUM TEMPERATURE INDICE: WARM NIGHTS– MINIMUM TEMPERATURE INDICE: WARM NIGHTS ANNUAL TREND MODELXOBSANNUAL TREND MODELXOBS
HadAM3 Simulation x ObservationHadAM3 Simulation x Observation RegCM3 Simulation x ObservationRegCM3 Simulation x Observation
OBS. SIM. OBS. SIM.
++(oo) = 12o+(+o) = 2 (no,ne)
++(oo) = 12o+(+o) = 2 (su,no)
RESULTS RESULTS – MINIMUM TEMPERATURE INDICE: WARM NIGHTS– MINIMUM TEMPERATURE INDICE: WARM NIGHTS ANNUAL TREND MODELXOBSANNUAL TREND MODELXOBS
HadAM3 Simulation x ObservationHadAM3 Simulation x Observation RegCM3 Simulation x ObservationRegCM3 Simulation x Observation
OBS. SIM. OBS. SIM.
++(oo) = 4o+(+o) = 2
++(oo) = 5o+(+o) = 1
RESULTSRESULTS
• MAXIMUM TEMPERATURE INDICES
• CORRELATION BETWEEN MODELXOBS
• ANNUAL TRENDS MODELXOBS
• MINIMUM TEMPERATURE INDICES
• CORRELATION BETWEEN MODELXOBS
• ANNUAL TRENDS MODELXOBS
• PRECIPITATION INDICES
• CORRELATION BETWEEN MODELXOBS
• ANNUAL TRENDS MODELXOBS
RESULTS RESULTS – PRECIPITATION INDICE: PRCPTOT– PRECIPITATION INDICE: PRCPTOT CORRELATION BETWEEN MODELXOBSCORRELATION BETWEEN MODELXOBS
HadAM3 Simulation x ObservationHadAM3 Simulation x Observation RegCM3 Simulation x ObservationRegCM3 Simulation x Observation
+ = 13o = 3 (su,co)
+ = 11o = 5 (su,se,co,no)
RESULTS RESULTS – PRECIPITATION INDICE: PRCPTOT– PRECIPITATION INDICE: PRCPTOT CORRELATION BETWEEN MODELXOBSCORRELATION BETWEEN MODELXOBS
HadAM3 Simulation x ObservationHadAM3 Simulation x Observation RegCM3 Simulation x ObservationRegCM3 Simulation x Observation
+ = 129o = 34
+ = 110o = 53
RESULTS RESULTS – PRECIPITATION INDICE: R95P– PRECIPITATION INDICE: R95P CORRELATION BETWEEN MODELXOBSCORRELATION BETWEEN MODELXOBS
HadAM3 Simulation x ObservationHadAM3 Simulation x Observation RegCM3 Simulation x ObservationRegCM3 Simulation x Observation
+ = 12o = 4 (su,se,co,no)
+ = 10o = 6 (su,se,co,no)
RESULTS RESULTS – PRECIPITATION INDICE: R95P– PRECIPITATION INDICE: R95P CORRELATION BETWEEN MODELXOBSCORRELATION BETWEEN MODELXOBS
HadAM3 Simulation x ObservationHadAM3 Simulation x Observation RegCM3 Simulation x ObservationRegCM3 Simulation x Observation
+ = 91o = 72
+ = 84o = 79
RESULTS RESULTS – PRECIPITATION INDICE: CWD– PRECIPITATION INDICE: CWD CORRELATION BETWEEN MODELXOBSCORRELATION BETWEEN MODELXOBS
HadAM3 Simulation x ObservationHadAM3 Simulation x Observation RegCM3 Simulation x ObservationRegCM3 Simulation x Observation
+ = 5 (su,co,ne)o = 9
+ = 1 (co)o = 14
RESULTS RESULTS – PRECIPITATION INDICE: CWD– PRECIPITATION INDICE: CWD CORRELATION BETWEEN MODELXOBSCORRELATION BETWEEN MODELXOBS
HadAM3 Simulation x ObservationHadAM3 Simulation x Observation RegCM3 Simulation x ObservationRegCM3 Simulation x Observation
+ = 109o = 50
+ = 64o = 96
RESULTSRESULTS
• MAXIMUM TEMPERATURE INDICES
• CORRELATION BETWEEN MODELXOBS
• ANNUAL TRENDS MODELXOBS
• MINIMUM TEMPERATURE INDICES
• CORRELATION BETWEEN MODELXOBS
• ANNUAL TRENDS MODELXOBS
• PRECIPITATION INDICES
• CORRELATION BETWEEN MODELXOBS
• ANNUAL TRENDS MODELXOBS
RESULTS RESULTS – PRECIPITATION INDICE: PRCPTOT– PRECIPITATION INDICE: PRCPTOT ANNUAL TREND MODELXOBSANNUAL TREND MODELXOBS
HadAM3 Simulation x ObservationHadAM3 Simulation x Observation RegCM3 Simulation x ObservationRegCM3 Simulation x Observation
OBS. SIM. OBS. SIM.
++(oo) = 9o+(+o) = 7
++(oo) = 8o+(+o) = 8
RESULTS RESULTS – PRECIPITATION INDICE: PRCPTOT– PRECIPITATION INDICE: PRCPTOT ANNUAL TREND MODELXOBSANNUAL TREND MODELXOBS
HadAM3HadAM3 RegCM3RegCM3
ObservationObservation
++(oo) = 140o+(+o) = 23
++(oo) = 65o+(+o) = 98
RESULTS RESULTS – PRECIPITATION INDICE: R95P– PRECIPITATION INDICE: R95P ANNUAL TREND MODELXOBSANNUAL TREND MODELXOBS
HadAM3 Simulation x ObservationHadAM3 Simulation x Observation RegCM3 Simulation x ObservationRegCM3 Simulation x Observation
OBS. SIM. OBS. SIM.
++(oo) = 9o+(+o) = 7
++(oo) = 9o+(+o) = 7
RESULTS RESULTS – PRECIPITATION INDICE: R95P– PRECIPITATION INDICE: R95P ANNUAL TREND MODELXOBSANNUAL TREND MODELXOBS
HadAM3HadAM3 RegCM3RegCM3
ObservationObservation
++(oo) = 81o+(+o) = 82
++(oo) = 64o+(+o) = 99
RESULTS RESULTS – PRECIPITATION INDICE: CWD– PRECIPITATION INDICE: CWD ANNUAL TREND MODELXOBSANNUAL TREND MODELXOBS
HadAM3 Simulation x ObservationHadAM3 Simulation x Observation RegCM3 Simulation x ObservationRegCM3 Simulation x Observation
OBS. SIM. OBS. SIM.
++(oo) = 11o+(+o) = 5 (su,se,no,ne)
++(oo) = 6o+(+o) = 10
RESULTS RESULTS – PRECIPITATION INDICE: CWD– PRECIPITATION INDICE: CWD ANNUAL TREND MODELXOBSANNUAL TREND MODELXOBS
HadAM3HadAM3 RegCM3RegCM3
ObservationObservation
++(oo) = 96o+(+o) = 67
++(oo) = 69o+(+o) = 94
CONCLUSIONSCONCLUSIONS
• In general, the RegCM3 and HadAM3 models present very similar results, however,
the behavior of some indices was better simulated by the HadAM3 model, specially
in the region of São Paulo State, Brazil, and for the precipitation indices.
• Most of the correlations between simulation and observation for the indices have a
weak positive relationship.
• For the most of the indices, the results of the annual trends were not as good as the
correlations.
• The models do not simulate well the precipitation and the temperature indices.
• The warm night, based on minimum temperature, was the index better simulated by
the RegCM3 and HadAM3 when compared to the other annual temperature indices.
• The RegCM3 worst simulation was for the CWD index.