Future Climatic Change and Thermal Load 2008

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Texts

• Climate Change as Word document

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• Climate Change as PDF document

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Maps

• 04.12.1 Annual Mean Number of Thermal Load Days 1971-2000

  PDF-Document (3.1 MB)

• 04.12.2 Increase in the Number of Thermal Load Days 2021-2050

  PDF-Document (2.9 MB)

• 04.12.3 Increase in the Number of Thermal Load Days 2071-2100

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• 04.12.4 Total of Thermal Load Days for the 1971-2000 Period

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• 04.12.5 Total of Thermal Load Days for the 2021-2050 Period

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• 04.12.6 Total of Thermal Load Days for the 2071-2100 Period

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Figures

• Fig. 1: Deviation from the global mean of near-surface air temperature from the average value, 1961 through 1990

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  Image: Climatic Research Unit – University of East Anglia

• Fig. 2: Classification of land use for the application of the model. A legend with 17 use classes is used, which is adapted to the requirements of the UBIKLIM model

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• Fig. 3: Location of the climate stations used for the modelling process in the city area and immediate surrounding countryside

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• Fig. 4: Annual mean air temperatures at the Berlin Tempelhof station (1949-2008)

  GIF-Document (86.8 kB)

• Fig. 5: Schematic structure of the urban bio-climate model UBIKLIM (TT: air temperature; ff: wind speed; e: humidity; Ql: long-wave solar flux, Qk: short-wave solar flux; Tmrt: average radiant temperature of a human; values for 1 m above ground)

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• Fig. 6: 90% confidence intervals for the thermal load days during the 1971 – 2000 period (10385: Schönefeld climate station, C20R: control series REMO, C7100W: control series WettReg)

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• Fig. 7: 90% confidence intervals for thermal load days during the 1971 – 2000 period (10385: Schönefeld climate station, C20R: control series REMO, C7100W: control series WettReg), and in the projection periods 2021 2050 (A1B2150R: REMO, P2150W: WettReg) and 2071 2100 (A1B7100R: REMO, P7100W: WettReg)

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• Fig. 8: Perceived Temperature in °C on the afternoon of a low-wind, cloudless summer day in Berlin and the surrounding area

  PDF-Document (4.2 MB)

• Fig. 9: Change in the number of thermal load days per year for the 2021 - 2050 projection period, compared with the control series, 1971 – 2000, run with WettReg

  PDF-Document (4.4 MB)

• Fig. 10: Change in the number of thermal load days per year for the 2071 – 2100 projection period, compared with the control period 1971 – 2000, run with WettReg

  PDF-Document (4.5 MB)

• Fig. 11: Change in the number of thermal load days due to area use changes (buildings) and global climate change per year for the 2021 - 2050 projection period, compared with the control series, 1971 - 2000, based on a REMO data (case example).

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Tables

• Tab. 1: Relationship between Perceived Temperature, thermal sensation and load stages

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• Tab. 2: Classification of surface types and construction parameters for the application of the UBIKLIM bio-climate model

  XLSX-Document (15.5 kB)

• Tab. 3: Average number of tropical nights at various climate stations

  XLSX-Document (9.4 kB)

• Tab 4: Comparison of Perceived Temperature as calculated by UBIKLIM (GTUBIKLIM), with average Perceived Temperature values ascertained from measurements at five climate stations in Berlin, on twelve sunny summer days (GTStation), 1990-2000

  XLSX-Document (10.1 kB)

• Tab 5: Comparison of no. of thermal load days calculated as per UBIKLIM (WBUBIKLIM), with no. of thermal load days calculated from the data from four Berlin climate stations (WB Stations) (ref. period: 1971-2000)

  XLSX-Document (9.8 kB)

• Tab 6: Number of thermal load days (WB) and the percentage (strant) of sunny days, as an annual average for the period 1971-2000, from the measured data from the Schönefeld climate station (10385), and the corresponding time series of REMO and WettReg

  XLSX-Document (9.9 kB)

• Tab 7: Number of thermal load days (WB) and the percentage (strant) of sunny days, as an annual average for the period 1971 – 2000, calculated using the REMO and WettReg time series, with bias correction

  XLSX-Document (8.9 kB)

• Tab 8: Number of thermal load days (WB) and the percentage (strant) of sunny days, as an annual average for the projection periods 2021 – 2050 and 2071 – 2100, calculated using the REMO and WettReg time series, with bias correction

  XLSX-Document (9.0 kB)