Results & Outcomes

  • Find out how meteoblue has been supporting scientific and creative work for more than 15 years by providing data to hundreds of bachelor's and master's theses.
  • Read about the latest research and interesting findings from various sectors in the collection of the best scientific cooperation results.

Our weather and climate data have been used in research papers, Bachelor's, Master's, and PHD theses at universities, research institutions and other organisations around the world. See the selection below for detailed information:

Language Study field Institution Country Publishing date Download
Climate Change and the Wine Quality in Bordeaux Region
EN Agriculture, Climate Change Kedge Business School FR 30.07.2023
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This master's thesis analyses and forecasts the impact of climate change in the production of wine in the region of Bordeaux, taking into consideration many different indicators that measure the quality of the wine.

The historical weather data was retrieved from history+ for 3 different locations in the region. Hourly data for variables such as air and soil temperatures, radiation, precipitation and more were used for the analysis.

Generalized Linear Models to Forecast Malaria Incidence in Three Endemic Regions of Senegal
EN Sciences, Technology Université Catholique de Louvain (UCL) BL 05.07.2023
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In order to forecast malaria incidence in Senegal, this research paper created a generalised model using as input data of climatic variables (specifically precipitation), the history of malaria's occurrence, and more.

Historical datasets from 2008 to 2016 were retrieved and analysed using the meteoblue history+ interface. Precipitation, humidity and temperature historical data were the variables relevant to support the generation of the model.

The Selection of Equipment for a Heat Generating Setting for Objects with a Variable Heat Load, Taking into Account Climatic Data
UA Engineering Kyiv National University of Construction and Architecture UA 22.06.2023
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This paper assesses the usage of heat pumps as an alternative for heat supply in Ukraine. The research also uses climatic conditions as input, as well as energy specifications of the country, and the engineering aspects of heat load systems.

The study used historical data for the city of Kiev, available on the meteoblue history+ interface. Variables such as air temperature, wind speed, solar radiation, and precipitation were relevant to support the research conducted in this study.

Rainfall Prediction in Taunggyi, Myanmar Using Additional Hydrological Data with Machine Learning Techniques
EN Meteorology, Weather Models Asia Pacific University of Technology & Innovation MY 01.04.2023
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Applying machine learning models, this master's thesis aims to develop a high accuracy prediction model for precipitation events.

Historical rainfall weather data simulation has been retrieved from history+, and contributed utilised in to the studies, and served as a basis to the development of the model for Taunggyi.

Illegal Migration and Weather Shocks: Evidence from Rural Mexico
EN Climate Change New York University US 03.02.2023
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The goal of this paper is to gather evidence to correlate the volume of illegal migrants from Mexico to the US, taking into account climate change effects on agricultural production and seasonal patterns of temperature and precipitation.

35 years of historical data provided by meteoblue were analysed, and enabled the detection of weather-migration patterns related to temperature and precipitation in different locations in Mexico.

Exploring the Relationship Between Climate Change and Rice Production in Northern Italy
EN Agriculture, Climate Change Cardiff University UK 14.01.2023
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Focused on determining the impacts of climate change on the rice production in Italy, this project gathers different data of climate and agriculture, and detects correlations to the impacts.

The high-resolution historical data, starting from 2008, provided by meteoblue was used to better understand the climate characteristics of the weather for the regions of Piedmont and Lombardy.

Wheat Crop Field and Yield Prediction using Remote Sensing and Machine Learning
EN Weather Modelling, Agriculture NED University of Engineering and Technology PK 29.09.2022
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In order to improve the efficiency of wheat production in Pakistan, this research examines the usage of remote sensing and machine learning technologies in the planning and operational activities in the field.

Historical meteorological data for the region of Faisalabad, Pakistan (retrieved via the meteoblue history+) was used as input for the calculation of wheat yield predictions in this research.

Einfluss Klimatischer und Touristischer Parameter auf den Skisport in Garmisch-Partenkirchen seit 1920
DE Weather Analysis, Economics Leopold-Franzens-Universität Innsbruck AT 04.07.2022
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Considering the effects of climate change this study analyses the correlation between the changing temperatures, tourism behaviour and skiing activities on the Garmisch-Partenkirchen area, since 1920.

Temperature and snowfall amount data were used to analyse the direct impact of weather conditions throughout the years. The history+ database provided historical data from 1985 for this paper.

Develop an offshore wind farm around the Island of Luzon / Philippines
EN Renewables, Wind Energy Istanbul Technical University TR 02.02.2022
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As part of the process of location selection for the installation of wind turbines in the region of Luzon, Philippines, this paper examines the important criteria for an offshore wind farm, such as weather conditions, financial and logistic plans.

Wind speed data was the most important weather variable required for this study. meteoblue historical weather simulation data was obtained for a period of more than 35 years (1985- 2021).

The Effects of Controlled Measured and Reanalysed Meteorological Data on the Performance of Water Temperature Simulation
EN Water Analysis, Weather Models Institut National de la Recherche Scientifique (INRS) CA 09.12.2021
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The goal of this study is to examine and evaluate the various outputs of a water temperature model utilising several meteorological data sources as input. The South Saskatchewan River was chosen as the study's focal point.

One of the meteorological datasets used as input came from the meteoblue historical weather simulation database. In the study, this dataset was compared to 2 other datasets, and the outcomes confirmed its high accuracy and usability.

Local Valleys Cause Deviation in Latitudinal Warming Trends in Italy
EN Climate Change, Geography Princeton University US 03.12.2021
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With the goal of obtaining better understanding the correlation between climate change and the geography of Italy (specifically in mountains and valleys), this study uses an algorithm that was developed to estimate the ruggedness of certain areas and analysing their warming rates.

More than 30 years of meteoblue historical weather simulation data were assessed (from 1985 to 2018), in hourly time steps. The data was used to calculate annual average temperature and detect potential anomalies.

Increasing Capacity of Overhead Transmission Lines - A Challenge for Brazilian Wind Farms
PT Renewables, Wind Energy Federal University of Ceará BR 18.10.2021
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The goal of this research was to determine the effects of climate change on the operating capacity of transmission lines in Brazilian wind farms, assuring the lines' dependability.

meteoblue historical weather simulated data of 7 years (2014-2021) contributed to the study, with variables such as wind speed and ambient temperature being analysed for 3 coordinates where transmission lines were located.

Investigating Controls on Supraglacial Lake Formation on the Miage Glacier, Italian Alps
EN Climate Change, Geography Nottingham Trent University UK 22.09.2021
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The goal of this research is to learn more about the impact of climate change on debris-covered glaciers as compared to clean ice glaciers, as well as the varied spatial and temporal consequences that the debris cover exerts.

30 years (1990-2020) of historical weather simulation data for three glacier locations (Miage, Himal Chuli and Hinang Glacier) were obtained, to observe the local development of the average temperature and snowfall amount.

A Biotope Study of the "Gelaagpark", a Nature Reserve in Temse, Belgium
NL Ecology VIVES University of Applied Sciences BE 21.07.2021
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This study aimed to increase the understanding of the functioning of the ecological system of the “Gelaagpark” and its vegetation, geography, and wildlife species.

The meteoblue historical data was used to support the study in terms of the climatic factors applicable to this area, such as temperature, precipitation, wind and air humidity. The extent of the analysed period was 20 years (2000-2020).

The PHES in Corsica for a 100% Renewable and Non-intermittent Energy
FR Renewables ETS - Montreal CA 30.06.2021
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In the context of renewable energy, this study approaches the topic of energy autonomy of island areas with the aim to determine to what extent it is possible for the island of Corsica, France, to be self-sufficient in electrical energy.

Historical weather data provided by meteoblue was used to retrieve wind speed data at 80m height between 2015 and 2020 on three sites of Corsica, supporting the estimation of energy produced by wind turbines.

Environmental Influences of Reef Manta Ray (Mobula alfredi) Aggregation Behaviour in Chagos; British Indian Territory (BIOT)
EN Biology University of Plymouth UK 24.06.2021
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The focus of the study was to learn more about the reef manta ray species, their habitat, and the environmental factors that impact their behaviour. This is part of an effort to create a reef manta ray conservation management strategy.

The meteoblue historical weather data was used to assess the impact of wind speed and direction on the manta ray behaviour and habitat.

Real-time Procedural Cloud Shader
EN Weather Simulation, Weather Models Berner Fachhochschule für Technik und Informatik DE 23.06.2021
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This research aims to better understand cloud science in order to construct a real-time weather rendering system that can be utilized to produce high-accuracy weather simulations for application in games and other purposes.

meteoblue weather data was used to visualise past, current and forecast data. Most importantly cloud coverage data of different atmosphere layers, but also precipitation and wind data.

Entwicklung eines Algorithmus zur Ökonomischen Optimierung der Ladevorgänge von Elektroautos
DE Renewables, Economics, Weather Models Universität Bremen DE 16.04.2021
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Targeting the optimisation of the charging process of electric vehicles, this master thesis develops an algorithm that takes into consideration aspects such as fluctuation of grid usage fees and the economic potential of different combinations of renewable sources.

The algorithm used historical solar power production data from meteoblue, which contains historical data of solar power production based on kilowatt peak, to calculate the energy generation outputs.

The Impact of Climate Change on the Entrepreneurship in Mountain Tourism Destinations
EN Economics, Climate Change Matej Bel University Faculty of Economics SK 15.04.2021
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The effects of climate change on commercial activity in mountain locations were examined in this master's thesis. Seasonal effects, climate change mitigation methods, and sustainable development activities were considered.

The meteoblue historical weather simulation data was mainly used to analyse the climatic development during winter seasons, observing weather variables such as temperature, relative humidity, snowfall amount, and more.

Rehabilitation of the Al-Nuri complex in the Old City of Mosul Raw Earth Secondary School
EN Architecture, Building Management Politecnico di Milano IT 02.04.2021
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This study aims to contribute to the project of infrastructural and social rehabilitation of the city of Mosul, Iraq, where large scale armed conflicts took place in 2017, leaving behind a trace of destruction.

To optimise the construction and architecture initiatives in the region, understanding the region's climatic characteristics is a key aspect. The meteoblue historical weather simulation data was obtained for the city of Mosul and was used to support the studies.

Repowering and Transition to Hybrid Renewable Energy Systems
EN Renewables, Wind Energy TU Delft NL 19.01.2021
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Approaching the topic of renewable energies, this study evaluates the adoption of a hybrid renewable energy system to determine the best energy mix. The Canary Islands were chosen as the site for a case study.

The meteoblue history+ was used to retrieve wind data in the form of wind roses and histograms.

Rice Yield Prediction in Ibagué, Colombia using a Multivariate Machine Learning Approach
EN Agriculture Aberystwyth University UK 19.12.2020
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The purpose of this master's thesis was to build an efficient technique for rice yield prediction in Colombia, utilising a machine learning approach in order to solve the potential problem of regional food supply induced by climate change.

The meteoblue historical weather simulation data was used as source for multiple weather variables such as precipitation, temperature, relative humidity, sunlight hours and more.

Mandara Mountains: A Case Study of Wind Power Potential Investigation
EN Renewables, Wind Energy Adamawa State University NG 02.11.2020
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This study highlights the importance of wind data as validation for the implementation of wind farms in developing African countries. A major barrier for the development of renewable energies in development countries is the paucity of available relevant information.

The study is based on the meteoblue historical wind speed and direction data from 2011 to 2016 for 4 locations in Cameroon and Nigeria.

Gebäudetechnikkonzept Geschäftshaus Attranyon in Nyon
DE Building Management, Renewables Gibb Bern CH 27.10.2020
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As part of the design project of the “Attranyon”, an innovative commercial building in Switzerland, this study assesses the energy consumption and self-sufficiency aspects for the project. It is meant to serve as a model project for Switzerland to follow in order to meet its climate goals.

The last 10 years (2010-2020) of temperature data were obtained from the meteoblue historical weather simulation database, and used as part of the calculation of the building's energy consumption.

The Effect of the Covid-19 Lockdown on Air Quality in Three Italian Medium-Sized Cities
EN Climate Change, Air Quality University of Valencia ES 19.10.2020
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In the context of Covid-19, this study analyses the impact of the lockdown measures on the transportation and industry related emissions, particularly in the cities of Pisa, Lucca and Florence, in Italy.

To examine the potential impacts of the decreased emissions, weather data from the meteoblue historical weather simulation database was obtained. Variables such as wind speed, precipitation, relative humidity and more were retrieved for the three aforementioned cities.

Lemur Leaf Frogs in Dark of the Moon
EN Biology University of Bristol UK 28.08.2020
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The aim of the research is to obtain better understanding of the severely endangered lemur leaf frog. Understanding the species' behaviour, breeding, and nesting in relation to the weather and to moon phases might contribute to the establishing of conservation measures.

As a part of the paper's weather analysis, hourly data for humidity, air temperature, and cloud cover were retrieved for the region of Limon, Costa Rica, from the meteoblue historical weather simulation database.

Short-term solar power forecasting using different Machine Learning models
EN Renewables, Solar Energy Universidad de los Andes CO 22.07.2020
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This study's focus was to develop a photovoltaic power forecasting mechanism based on a machine learning model (directly impacted by many meteorological factors in the context of renewable energy) and addressing the estimation of solar power output.

In this study, more than 30 years of meteoblue weather simulation data were used as input for the machine learning models. Specifically, air temperature, relative humidity, cloud cover, shortwave radiation, wind speed, and direction.

Simulation on MATLAB of Agricultural Photovoltaic Systems in Germany, Spain and Turkey
EN Renwables, Solar Energy Hochschule Ingolstadt DE 12.07.2020
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This study analyses the development of Agricultural Photovoltaic Systems, a method that allows the same piece of land to be used for agriculture and photovoltaic energy production at the same time.

The meteoblue historical weather data was used to assess the productivity of photovoltaic energy generation systems. Weather variables such as air temperature, relative humidity and solar radiation were obtained for locations in Germany, Spain and Turkey.

Empirical relationship between weather in Denver, CO and brewery taproom sales
EN Economics Metropolitan State University of Denver College of Business US 16.06.2020
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Assessing the correlation between the weather conditions and beer sales volume in Denver, United States of America, this study gathered data from breweries and restaurants as well as the weather of different seasons, aiming to better understand beer consumption patterns.

The mean temperature, precipitation and sunshine hours were the variables analysed in this study, and that were taken from the meteoblue historical weather simulation database.

Feasibility Study on the Instalment of Wind Turbines Throughout Queen Mary University Campus
EN Renewables, Wind Energy Queen Mary University of London UK 01.06.2020
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As part of a plan to reduce electricity costs and CO2 emissions in the campus of Queen Mary University, this project will assess the feasibility of implementing a wind turbine as energy supply. A Computational Fluid Dynamics simulation was performed to understand the wind behaviour, and different types of turbines were tested.

The meteoblue historical weather simulation data were used to study the wind speed and direction development at the Queen Mary campus. A wind rose was also used in the project to assess and demonstrate the wind distribution.

Finite Sample Smeariness of Fréchet Means with Applications to Torus Data
EN Weather Analysis Georg-August-Universität Göttingen DE 25.05.2020
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In order to apply the concept of Finite Sample Smeariness (FSS) in a real use case, the study used wind data as subject for test and analysis, using bootstrap tests and measuring its efficiency.

20 years of wind direction data (2000-2019) of Basel and Göttingen were used to detect a potential changing pattern that could indicate effects of climate change.

Trend analysis of time series of temperature data for Lahore, Pakistan
EN Climate Change University of the Punjab Lahore PK 05.05.2020
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This study uses statistical analysis of the linear trends of maximum and minimum temperature, as well as seasonal trends, in order to improve the understanding of the climate in Lahore, Pakistan.

The development of temperature trends was calculated using 31 years of the meteoblue historical weather simulation data (1988-2019). The data has been subjected to statistical analysis, and contributed to the study's findings.

Prédiction de la pollution de l'air à Paris : concentrations en N02 et PM
FR Air Quality, Urban Climate Université Paris Sud FR 01.04.2020
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The aim of this study was to collect air pollutant measurements, as well as the utilisation of meteorological and traffic data, in order to better understand the air quality situation in Paris, and finally to create a map of air pollution.

Weather variables such as wind, precipitation and temperature were retrieved from the meteoblue weather simulation database, contributing to the meteorological analysis of the project.

Eignung der Wetterau für den Tafeltraubenanbau
DE Agriculture Justus-Liebig-Universität Gießen DE 04.02.2020
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This bachelor's paper aimed to analyse the situation of table grapes in Germany (one of the most consumed fruits there), which saw its harvesting activities neglected by local farmers, leading to a large need for imports.

To understand if the weather conditions are a key barrier for harvesting the table grape in Germany, the meteooblue weather data from 1985 to 2019 was analysed. Variables such as temperature, precipitation, and sunshine hours were obtained for the analysis.

The Impact of Climate Change on Central Canada Airport Pavements
EN Climate Change University of Waterloo US 06.01.2020
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Considering the effects of climate change, this study analyses the impacts of extreme weather events and changing temperatures in the operation of airports. Furthermore, the study provides options for mitigation measures to be applied, taking the weather variables analysis into consideration.

Wind speed and direction data of the last 35 years (including wind roses and diagrams) were provided by meteoblue and used as input to study three Canadian airports' locations.