Based on current monthly figures, on average, German climate has gotten a bit warmer. The average temperature for January 2025 was recorded at around 2 degrees Celsius, compared to 1.5 degrees a year before. In the broader context of climate change, average monthly temperatures are indicative of where the national climate is headed and whether attempts to control global warming are successful. Summer and winter Average summer temperature in Germany fluctuated in recent years, generally between 18 to 19 degrees Celsius. The season remains generally warm, and while there may not be as many hot and sunny days as in other parts of Europe, heat waves have occurred. In fact, 2023 saw 11.5 days with a temperature of at least 30 degrees, though this was a decrease compared to the year before. Meanwhile, average winter temperatures also fluctuated, but were higher in recent years, rising over four degrees on average in 2024. Figures remained in the above zero range since 2011. Numbers therefore suggest that German winters are becoming warmer, even if individual regions experiencing colder sub-zero snaps or even more snowfall may disagree. Rain, rain, go away Average monthly precipitation varied depending on the season, though sometimes figures from different times of the year were comparable. In 2024, the average monthly precipitation was highest in May and September, although rainfalls might increase in October and November with the beginning of the cold season. In the past, torrential rains have led to catastrophic flooding in Germany, with one of the most devastating being the flood of July 2021. Germany is not immune to the weather changing between two extremes, e.g. very warm spring months mostly without rain, when rain might be wished for, and then increased precipitation in other months where dry weather might be better, for example during planting and harvest seasons. Climate change remains on the agenda in all its far-reaching ways.

Temperature in Germany increased to 11.19 celsius in 2024 from 10.89 celsius in 2023. This dataset includes a chart with historical data for Germany Average Temperature.

In June 2025, the average temperature in Berlin was **** degrees Celsius. This was an increase compared to the June a year ago.

Data files which are used for figure 5 in the extended abstract ems-2018

description: Average Winter (Jan-Mar) Precipitation (2015-2030) simulated by RegCM3 with ECHAM5 projections as boundary conditions. Units are millimeters. These data were generated by the regional climate model RegCM3 with boundary conditions from a GCM future climate projections. The data were downscaled statistically by calculating differences (anomalies) between the RegCM3 results with GCM-driven boundary conditions for 1968-99 and those for a future period, in this case 2015-2030. The anomalies were added (temperatures) or multiplied (precipitation) to a climate baseline from PRISM (Parameter-elevation Regressions on Indepenent Slopes Model - prism.oregonstate.edu) data based on historical observations. The PRISM baseline was calculated as average monthly climate conditions for 1968-1999 reprojected the results to the BLM Albers 4km grid. PRISM data are provided in a 2.5 arc-minute lat-lon grid. RegCM3 is the third generation of the Regional Climate Model originally developed at the National Center for Atmospheric Research during the late 1980s and early 1990s. Details on current model components and applications of the model can be found in numerous publications (e.g., Giorgi et al, 2004a,b, Pal et al, 2007), the ICTP RegCNET web site (http://users.ictp.it/RegCNET/model.html), and the ICTP RegCM publications web site (http://users.ictp.it/~pubregcm/RegCM3/pubs.htm). The Western North America domain has a horizontal grid spacing of 15 km and 18 vertical levels. RegCM3 requires time-dependent lateral (wind, temperature, and humidity) and surface [surface pressure and sea surface temperature (SST)] boundary conditions that are updated every 6 hours of simulation. Lateral boundary conditions are derived from General Circulation Model (GCM) output or observations (e.g. NCEP). Additional information can be found at: http://regclim.coas.oregonstate.edu/. Global simulations from the Max Planck Institute (Germany) climate model ECHAM5 were part of a suite of model results used in the 4th Climate Model Inter-comparison Project (CMIP4) and the Intergovernmental Panel for Climate Change 4th Assessment Report. Details and documentation of the model can be found on the CMIP website: http://wwwpcmdi.llnl.gov/ipcc/model_documentation/ipcc_model_documentation.php.; abstract: Average Winter (Jan-Mar) Precipitation (2015-2030) simulated by RegCM3 with ECHAM5 projections as boundary conditions. Units are millimeters. These data were generated by the regional climate model RegCM3 with boundary conditions from a GCM future climate projections. The data were downscaled statistically by calculating differences (anomalies) between the RegCM3 results with GCM-driven boundary conditions for 1968-99 and those for a future period, in this case 2015-2030. The anomalies were added (temperatures) or multiplied (precipitation) to a climate baseline from PRISM (Parameter-elevation Regressions on Indepenent Slopes Model - prism.oregonstate.edu) data based on historical observations. The PRISM baseline was calculated as average monthly climate conditions for 1968-1999 reprojected the results to the BLM Albers 4km grid. PRISM data are provided in a 2.5 arc-minute lat-lon grid. RegCM3 is the third generation of the Regional Climate Model originally developed at the National Center for Atmospheric Research during the late 1980s and early 1990s. Details on current model components and applications of the model can be found in numerous publications (e.g., Giorgi et al, 2004a,b, Pal et al, 2007), the ICTP RegCNET web site (http://users.ictp.it/RegCNET/model.html), and the ICTP RegCM publications web site (http://users.ictp.it/~pubregcm/RegCM3/pubs.htm). The Western North America domain has a horizontal grid spacing of 15 km and 18 vertical levels. RegCM3 requires time-dependent lateral (wind, temperature, and humidity) and surface [surface pressure and sea surface temperature (SST)] boundary conditions that are updated every 6 hours of simulation. Lateral boundary conditions are derived from General Circulation Model (GCM) output or observations (e.g. NCEP). Additional information can be found at: http://regclim.coas.oregonstate.edu/. Global simulations from the Max Planck Institute (Germany) climate model ECHAM5 were part of a suite of model results used in the 4th Climate Model Inter-comparison Project (CMIP4) and the Intergovernmental Panel for Climate Change 4th Assessment Report. Details and documentation of the model can be found on the CMIP website: http://wwwpcmdi.llnl.gov/ipcc/model_documentation/ipcc_model_documentation.php.

Difference of Average Winter (Jan-Mar) Temperature (2045-2060 vs 1968-1999) simulated by RegCM3 with ECHAM5 projections as boundary conditions. Units are degrees Celsius. These data were generated by the regional climate model RegCM3 with boundary conditions from a GCM future climate projections. The data were downscaled statistically by calculating differences (anomalies) between the RegCM3 results with GCM-driven boundary conditions for 1968-99 and those for a future period, in this case 2015-2030. The anomalies were added (temperatures) or multiplied (precipitation) to a climate baseline from PRISM (Parameter-elevation Regressions on Indepenent Slopes Model - prism.oregonstate.edu) data based on historical observations. The PRISM baseline was calculated as average monthly climate conditions for 1968-1999 reprojected the results to the BLM Albers 4km grid. PRISM data are provided in a 2.5 arc-minute lat-lon grid. This dataset depicts differences between the downscaled data for 2015-2030 and 1968-1999. RegCM3 is the third generation of the Regional Climate Model originally developed at the National Center for Atmospheric Research during the late 1980s and early 1990s. Details on current model components and applications of the model can be found in numerous publications (e.g., Giorgi et al, 2004a,b, Pal et al, 2007), the ICTP RegCNET web site (http://users.ictp.it/RegCNET/model.html), and the ICTP RegCM publications web site (http://users.ictp.it/~pubregcm/RegCM3/pubs.htm). The Western North America domain has a horizontal grid spacing of 15 km and 18 vertical levels. RegCM3 requires time-dependent lateral (wind, temperature, and humidity) and surface [surface pressure and sea surface temperature (SST)] boundary conditions that are updated every 6 hours of simulation. Lateral boundary conditions are derived from General Circulation Model (GCM) output or observations (e.g. NCEP). Additional information can be found at: http://regclim.coas.oregonstate.edu/. Global simulations from the Max Planck Institute (Germany) climate model ECHAM5 were part of a suite of model results used in the 4th Climate Model Inter-comparison Project (CMIP4) and the Intergovernmental Panel for Climate Change 4th Assessment Report. Details and documentation of the model can be found on the CMIP website: http://wwwpcmdi.llnl.gov/ipcc/model_documentation/ipcc_model_documentation.php.

Average Winter (Jan-Mar) Temperature (2045-2060) simulated by RegCM3 with ECHAM5 projections as boundary conditions.

Units are degrees Celsius.

These data were generated by the regional climate model RegCM3 with boundary conditions from a GCM future climate projections. The data were downscaled statistically by calculating differences (anomalies) between the RegCM3 results with GCM-driven boundary conditions for 1968-99 and those for a future period, in this case 2015-2030. The anomalies were added (temperatures) or multiplied (precipitation) to a climate baseline from PRISM (Parameter-elevation Regressions on Indepenent Slopes Model - prism.oregonstate.edu) data based on historical observations. The PRISM baseline was calculated as average monthly climate conditions for 1968-1999 reprojected the results to the BLM Albers 4km grid. PRISM data are provided in a 2.5 arc-minute lat-lon grid.

RegCM3 is the third generation of the Regional Climate Model originally developed at the National Center for Atmospheric Research during the late 1980s and early 1990s. Details on current model components and applications of the model can be found in numerous publications (e.g., Giorgi et al, 2004a,b, Pal et al, 2007), the ICTP RegCNET web site (http:users.ictp.itRegCNETmodel.html), and the ICTP RegCM publications web site (http:users.ictp.it~pubregcmRegCM3pubs.htm). The Western North America domain has a horizontal grid spacing of 15 km and 18 vertical levels.

RegCM3 requires time-dependent lateral (wind, temperature, and humidity) and surface [surface pressure and sea surface temperature (SST)] boundary conditions that are updated every 6 hours of simulation. Lateral boundary conditions are derived from General Circulation Model (GCM) output or observations (e.g. NCEP). Additional information can be found at: http:regclim.coas.oregonstate.edu.

Global simulations from the Max Planck Institute (Germany) climate model ECHAM5 were part of a suite of model results used in the 4th Climate Model Inter-comparison Project (CMIP4) and the Intergovernmental Panel for Climate Change 4th Assessment Report. Details and documentation of the model can be found on the CMIP website: http:wwwpcmdi.llnl.govipccmodel_documentationipcc_model_documentation.php.

Consumer Confidence in Germany increased to -22.30 points in October from -23.50 points in September of 2025. This dataset provides the latest reported value for - Germany Consumer Confidence - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

We related the sea surface temperature data from the Helgoland Roads Time Series, one of the most important and detailed long-term in situ marine ecological time series, to the Sylt Roads Time Series and spatially averaged North Sea, Germany, Europe, North Atlantic and Northern Hemisphere surface temperatures. The hierarchical and comparative statistical evaluation of all of these time series relative to one another allows us to relate marine ecosystem change to temperature in terms of time (from 1962 to 2019) and spatial scales (global to local). The objectives are:1.to investigate the warming in the North Sea in terms of different geographical scales and typical weather indices (North Atlantic Oscillation),2.to document the different types of changes observed: trends, anomalies and variability3.to differentiate seasonal shifts,4.to evaluate anomalies and frequency distributions of temperature over time, and5.to evaluate hot and cold spells and their variability.Spatially averaged datasets are extracted from gridded HadCRUT4 and HadSST3 reanalysis, the European Environment Agency and the German Weather Service (DWD). Datasets are analyzed in terms of yearly and monthly surface temperature averages and their anomalies relative to 1960s-1990s period.The North Atlantic Oscillation winter mean is the December, January and February average of the data made available by the National Center for Atmospheric Research (NCAR).For detailed information about the datasets, please refer to Amorim & Wiltshire et al. (2023) - https://doi.org/10.1016/j.pocean.2023.103080.

Climate change is expected to influence crop growth through frequent drought and heat extremes, and thus, drought and heat tolerance are of increasing importance as major breeding goals for cereal crops in Central Europe. Plant physiological water status traits are suitable for phenotyping plant drought/heat tolerance. The objective of this study was to determine whether relative leaf water content (RLWC), plant canopy temperature (CT), and carbon isotope discrimination (CID) are suitable for phenotyping the drought/heat resistance of German winter wheat for future climate resilience. Therefore, a comprehensive field evaluation was conducted under drier and warmer conditions in Moldova using a space-for-time approach for twenty winter wheat varieties from Germany and compared to twenty regionally adapted varieties from Eastern Europe. Among the physiological traits RLWC, CT, and CID, the heritability of RLWC showed the lowest values regardless of year or variety origin, and there was no significant correlation between RLWC and grain yield regardless of the year, suggesting that RLWC did not seem to be a useful trait for distinguishing origins or varieties under continental field conditions. Although the heritability of CT demonstrated high values, the results showed surprisingly low and nonsignificant correlations between CT and grain yield; this may have been due to a confounding effect of increased soil temperature in the investigated dark Chernozem soil. In contrast, the heritability of CID in leaves and grain was high, and there were significant correlations between grain yield and CID, suggesting that CID is a reliable indirect physiological trait for phenotyping drought/heat resistance for future climate resilience in German wheat.

Die meteorologischen Daten zu den Temperatur-, Feuchte- und Windfeldern wurden während vier Messkampagnen in Stuttgart im Sommer 2017, Winter 2017, Sommer 2018 und Winter 2018 erhoben. Doppler Lidarsysteme und ein Mikrowellenradiometer wurden zur Erfassung und zur Analyse der horizontalen Struktur des innerstädtischen Windfeldes und der vertikalen Struktur der urbanen Grenzschicht eingesetzt. Die Messungen wurden im Rahmen des Verbundprojekts „Dreidimensionale Observierung atmosphärischer Prozesse in Städten (3DO)“ durchgeführt. 3DO gehört zu einem der drei Module der BMBF-Fördermaßnahme Stadtklima im Wandel (UC2). Mehr Information über Ziele der UC2 Fördermaßnahme ist auf http://www.uc2-program.org/ und in den aufgelisteten Übersichtspublikationen zu finden. Dieter Scherer, Felix Ament, Stefan Emeis, Ute Fehrenbach, Bernd Leitl, Katharina Scherber, Christoph Schneider, and Ulrich Vogt (2019): Three-Dimensional Observation of Atmospheric Processes in Cities. Meteorologische Zeitschrift 2, 2019. doi: 10.1127/metz/2019/0909. Dieter Scherer, Florian Antretter, Steffen Bender, Jörg Cortekar, Stefan Emeis, Ute Fehrenbach, Günter Gross, Guido Halbig, Jens Hasse, Björn Maronga, Siegfried Raasch, und Katharina Scherber (2019): Urban Climate Under Change [UC]2 – A National Research Programme for Developing a Building-Resolving Atmospheric Model for Entire City Regions. Meteorologische Zeitschrift 2, 2019. doi:10.1127/metz/2019/0913. This dataset of meteorological observations (temperature, humidity, wind) was collected during four field campaigns in Stuttgart, Germany, in summer 2017, winter 2017, summer 2018, and winter 2018. Doppler lidars and a microwave radiometer were deployed to investigate horizontal structures of intra-urban horizontal wind field patterns and vertical structures of the urban boundary layer. The measurements were conducted within the project ‘Three-dimensional Observation of Atmospheric Processes in Cities’ (3DO). 3DO is one of three modules of the programme ‘Urban Climate Under Change’, [UC]2, funded by the German Federal Ministry of Education and Research (BMBF). More information on the goals of the UC]2 programme can be found on http://www.uc2-program.org/ and in the overview papers listed below. Dieter Scherer, Felix Ament, Stefan Emeis, Ute Fehrenbach, Bernd Leitl, Katharina Scherber, Christoph Schneider, and Ulrich Vogt (2019): Three-Dimensional Observation of Atmospheric Processes in Cities. Meteorologische Zeitschrift 2, 2019. doi: 10.1127/metz/2019/0909. Dieter Scherer, Florian Antretter, Steffen Bender, Jörg Cortekar, Stefan Emeis, Ute Fehrenbach, Günter Gross, Guido Halbig, Jens Hasse, Björn Maronga, Siegfried Raasch, und Katharina Scherber (2019): Urban Climate Under Change [UC]2 – A National Research Programme for Developing a Building-Resolving Atmospheric Model for Entire City Regions. Meteorologische Zeitschrift 2, 2019. doi:10.1127/metz/2019/0913. DATA SET DESCRIPTION 1. Spatial coverage The measuring data were collected during intensive observation periods (IOP) in Stuttgart, Germany, under the BMBF Programme ‘Urban Climate Under Change’ [UC]2. 2. Temporal coverage

In January 2024, the monthly average temperature in Helsinki, the capital of Finland, was -6.8 degrees Celsius, and in Northern Finland in Sodankylä -16.3 degrees Celsius. In 2023, the winter period in Finland was not as cold as in the previous years. Finland as an attractive travel destination Finland is gaining popularity among international tourists. Known for its untouched natural landscapes and unique regions, it offers diverse experiences ranging from the metropolitan area of Helsinki to the northernmost point of Lapland. The travel and tourism industry is important for the growth of the Finnish economy. By 2029, the revenue generated by tourism is forecast to exceed 25 billion euros. Finns opted more for domestic holidays In the Nordic comparison, Finland had the lowest share of overnight stays of foreign tourists in 2022, while Denmark, Sweden, and Norway recorded significantly higher visitor numbers. In recent years, Finns have increasingly opted for domestic holidays, which illustrates emerging trends of local and climate-conscious tourism. Most non-resident tourists came from Germany, followed by the United Kingdom, Sweden, and Estonia.

Climate change is the greatest threat to global health in the twenty first century, yet combating it entails substantial health co-benefits. Physicians and other health professionals have not yet fully embraced their responsibilities in the climate crisis, especially about their communication with patients. While medical associations are calling on physicians to integrate climate change into health counselling, there is little empirical evidence about corresponding perceptions of patients. This study aimed to explore primary care patients’ perceptions of climate-sensitive health counselling. From July to December 2021, 27 qualitative interviews with patients were conducted and analysed using thematic analysis. A purposive sampling technique was applied to identify patients who had already experienced climate-sensitive health counselling in Germany. Patients’ perceptions of climate-sensitive health counselling were characterised by a high level of acceptance, which was enhanced by stressing the link between climate change and health, being credible concerning physician’s own climate-friendly lifestyle, building upon good therapeutic relationships, creating a sense of solidarity, and working in a patient centred manner. Challenges and risks for acceptance were patients’ disinterest or surprise, time constraints, feared politicisation of consultations, and evoking feelings of guilt and shame. These findings suggest that primary care patients can accept climate-sensitive health counselling, if it follows certain principles of communication, including patient-centredness. Our findings can be useful for developing communication guidelines, respective policies as well as well-designed intervention studies, which are needed to test the health and environmental effects of climate-sensitive health counselling. Climate-sensitive health counselling was accepted in a qualitative patient sample in Germany. Patient-centred communication and a link to individual health contributed to acceptance while time-constraints, politisation and feelings of guilt were potential challenges. Further research is needed to investigating patients’ acceptance and effects of climate-sensitive health counselling in larger samples.

Dataset of winter wheat yields in Germany between 1958 and 2015 from N-fertilization experiments - TRIAL_SITES.

This dataset of meteorological observations (temperature, humidity, wind) was collected during four field campaigns in Stuttgart, Germany, in summer 2017, winter 2017, summer 2018, and winter 2018. Doppler lidars and a microwave radiometer were deployed to investigate horizontal structures of intra-urban horizontal wind field patterns and vertical structures of the urban boundary layer. The measurements were conducted within the project ‘Three-dimensional Observation of Atmospheric Processes in Cities’ (3DO). 3DO is one of three modules of the programme ‘Urban Climate Under Change’, [UC]2, funded by the German Federal Ministry of Education and Research (BMBF). More information on the goals of the UC]2 programme can be found on http://www.uc2-program.org/ and in the overview papers listed below. Dieter Scherer, Felix Ament, Stefan Emeis, Ute Fehrenbach, Bernd Leitl, Katharina Scherber, Christoph Schneider, and Ulrich Vogt (2019): Three-Dimensional Observation of Atmospheric Processes in Cities. Meteorologische Zeitschrift 2, 2019. doi: 10.1127/metz/2019/0909. Dieter Scherer, Florian Antretter, Steffen Bender, Jörg Cortekar, Stefan Emeis, Ute Fehrenbach, Günter Gross, Guido Halbig, Jens Hasse, Björn Maronga, Siegfried Raasch, und Katharina Scherber (2019): Urban Climate Under Change [UC]2 – A National Research Programme for Developing a Building-Resolving Atmospheric Model for Entire City Regions. Meteorologische Zeitschrift 2, 2019. doi:10.1127/metz/2019/0913.

Germany World Economic Survey: Climate: North America data was reported at 90.100 1995=100 in Dec 2009. This records an increase from the previous number of 83.000 1995=100 for Sep 2009. Germany World Economic Survey: Climate: North America data is updated quarterly, averaging 98.900 1995=100 from Mar 1990 (Median) to Dec 2009, with 80 observations. The data reached an all-time high of 122.700 1995=100 in Mar 2004 and a record low of 43.300 1995=100 in Dec 1990. Germany World Economic Survey: Climate: North America data remains active status in CEIC and is reported by Ifo Institute - Leibniz Institute for Economic Research at the University of Munich. The data is categorized under Global Database’s Germany – Table DE.S047: World Economic Survey: IFO Institute (Discontinued).

This paper reports on a pilot project between our research department and and a local radio station, investigating the use of sonification to render and present auditory weather forecasts. The sonifications include auditory markers for certain relevant time points, expected weather events like thunder, snow or fog and several auditory streams to summarize the temporal weather changes during the day. To our knowledge, this is the first utilization of sonification in a regular radio program. We introduce the sonification concept and present our design of the sonification which is oriented at combined perceptional salience and emotional truthfulness. Sound examples are given for typical weather situations in Germany and several prototypical weather conditions which tune to be connected with emotional value. We will report first experiences with this pilot project and feedback of the audience on ICAD since broadcast started in February 2003.

Examples of typical (german) weather situations

Here are the sonifiations of some typical german weather situations. They are selected introduce the listener by presenting sounds for weather conditions spread all over the multi dimensional weather vector room. For each day there is a graphical plot of the important parameters that might be helpful for lerning.

Additionally we provide examples of one of our very early sonification prototypes for comparison. Note that not all parameters are represented in these sounds.

• chilly but nice springtime A bit of fog and clound in the morning, but perfectly dry and shiny the hole second half of the day.

  spring (mp3) Plot (gif)

• dry summer day ideal day for a swimm

  dry summer (mp3) Plot (gif)

• hot and humid summer day with upcoming rain and thunder storm

  summer storm (mp3) Plot (gif)

• cold wet autumn day Better not go out. Sit at the fireplace and have a warm drink.

  autumn storm (mp3) Plot (gif)

• cold but shiny winter day have a walk and enjoy the snow decorated landscape

  winter dry (mp3) Plot (gif)

• stormy winter day with snow
  what more to say

  winter snow storm (mp3) Plot (gif)

step by step

Lets take a closer look at the hot and humid summer day. The auditory streams are introduces by one starting with the time markers.

• time marker only mp3 (204k)
• +temperature mp3 (204k)
• +temperature/humidity mp3 (204k)
• +rain mp3 (204k)
• +wind mp3 (204k)
• +clouds mp3 (204k)
• +emos (complete) mp3 (204k)

used samples

The sonification was made using these samples of natural weather sounds and other real sounds.

Germany World Economic Survey: Climate data was reported at 90.400 1995=100 in Dec 2009. This records an increase from the previous number of 78.700 1995=100 for Sep 2009. Germany World Economic Survey: Climate data is updated quarterly, averaging 96.150 1995=100 from Mar 1990 (Median) to Dec 2009, with 80 observations. The data reached an all-time high of 117.200 1995=100 in Jun 2000 and a record low of 50.100 1995=100 in Mar 2009. Germany World Economic Survey: Climate data remains active status in CEIC and is reported by Ifo Institute - Leibniz Institute for Economic Research at the University of Munich. The data is categorized under Global Database’s Germany – Table DE.S048: World Economic Survey: IFO Institute (Discontinued).

Business Climate Index: sa: Business Climate: West Germany data was reported at 97.400 1991=100 in Jan 2004. This records an increase from the previous number of 96.900 1991=100 for Dec 2003. Business Climate Index: sa: Business Climate: West Germany data is updated monthly, averaging 93.900 1991=100 from Jan 1969 (Median) to Jan 2004, with 421 observations. The data reached an all-time high of 113.200 1991=100 in Jun 1969 and a record low of 76.700 1991=100 in Aug 1982. Business Climate Index: sa: Business Climate: West Germany data remains active status in CEIC and is reported by Ifo Institute - Leibniz Institute for Economic Research at the University of Munich. The data is categorized under Global Database’s Germany – Table DE.S006: Business Climate Index: 1991=100: Seasonally Adjusted: IFO Institute.

Germany World Economic Survey: Climate: Western Europe data was reported at 76.800 1995=100 in Dec 2009. This records an increase from the previous number of 65.700 1995=100 for Sep 2009. Germany World Economic Survey: Climate: Western Europe data is updated quarterly, averaging 91.700 1995=100 from Mar 1990 (Median) to Dec 2009, with 80 observations. The data reached an all-time high of 122.000 1995=100 in Jun 2000 and a record low of 45.200 1995=100 in Mar 2009. Germany World Economic Survey: Climate: Western Europe data remains active status in CEIC and is reported by Ifo Institute - Leibniz Institute for Economic Research at the University of Munich. The data is categorized under Global Database’s Germany – Table DE.S047: World Economic Survey: IFO Institute (Discontinued).