Boris Thies
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View article: Evaluation and improvement of EnMAP’s cloud and cloud-shadow masks – An application in tropical western Kenya
Evaluation and improvement of EnMAP’s cloud and cloud-shadow masks – An application in tropical western Kenya Open
Cloud and cloud shadow (CCS) detection is an integral pre-processing step in optical remote sensing workflows. Residual CCS can distort subsequent analyses, such as land use and land cover classification. The accuracy of operational cloud …
View article: Machine learning wildfire susceptibility mapping for Germany
Machine learning wildfire susceptibility mapping for Germany Open
Wildfires present a significant threat to ecosystems and human life, particularly as global climate change amplifies the likelihood of extreme fire events. This study develops a machine learning-based wildfire susceptibility model for Germ…
View article: Machine learning wildfire susceptibility mapping for Germany
Machine learning wildfire susceptibility mapping for Germany Open
Wildfires present a significant threat to ecosystems and human life, particularly as global climate change amplifies the likelihood of extreme fire events. This study develops a machine learning-based wildfire susceptibility model for Germ…
View article: Downscaling air temperatures for high-resolution niche modeling in a valley of the Amazon lowland forests: A case study on the microclima R package
Downscaling air temperatures for high-resolution niche modeling in a valley of the Amazon lowland forests: A case study on the microclima R package Open
The forests of the Amazon basin are threatened by climate and land use changes. Due to the transition towards a drier climate, moisture-dependent organisms such as canopy epiphytes are particularly affected. Even if the topography in the A…
View article: Let It Snow: Intercomparison of Various Total and Snow Precipitation Data over the Tibetan Plateau
Let It Snow: Intercomparison of Various Total and Snow Precipitation Data over the Tibetan Plateau Open
The Global Precipitation Measurement Mission (GPM) improved spaceborne precipitation data. The GPM dual-frequency precipitation radar (DPR) provides information on total precipitation (TP), snowfall precipitation (SF) and snowfall flags (s…
View article: Generation of long-term ground fog time series using harmonized time series cross-calibrating two Meteosat generations
Generation of long-term ground fog time series using harmonized time series cross-calibrating two Meteosat generations Open
Fog, a meteorological phenomenon resulting in horizontal visibility of less than 1000 meters, has significant socio-economic and environmental consequences. Current long-term research on the fog occurrence based on station data have indica…
View article: Radiation fog nowcasting with XGBoost using station and satellite data
Radiation fog nowcasting with XGBoost using station and satellite data Open
The research project “FOrecasting radiation foG by combining station and satellite data using Machine Learning (FOG-ML)” represents a comprehensive effort to advance radiation fog prediction using machine learning (ML) techniqu…
View article: Improving classification‐based nowcasting of radiation fog with machine learning based on filtered and preprocessed temporal data
Improving classification‐based nowcasting of radiation fog with machine learning based on filtered and preprocessed temporal data Open
Radiation fog nowcasting remains a complex yet critical task due to its substantial impact on traffic safety and economic activity. Current numerical weather prediction models are hindered by computational intensity and knowledge gaps rega…
View article: Valleys are a potential refuge for the Amazon lowland forest in the face of increased risk of drought
Valleys are a potential refuge for the Amazon lowland forest in the face of increased risk of drought Open
The Amazon rainforest is home to an incredible variety of plant and animal species and plays a crucial role in regulating the Earth’s climate. Climate change and human activities are putting this important ecosystem at risk. In particular,…
View article: Harmonization of Meteosat First and Second Generation Datasets for Fog and Low Stratus Studies
Harmonization of Meteosat First and Second Generation Datasets for Fog and Low Stratus Studies Open
Operational weather satellites, dating back to 1970s, currently provide the best basis for climatological investigations, such as an analysis of changes in the cloud cover. Because clouds are highly dynamic in time, temporally high-resolut…
View article: Current Training and Validation Weaknesses in Classification-Based Radiation Fog Nowcast Using Machine Learning Algorithms
Current Training and Validation Weaknesses in Classification-Based Radiation Fog Nowcast Using Machine Learning Algorithms Open
Large inaccuracies still exist in accurately predicting fog formation, dissipation, and duration. To improve these deficiencies, machine learning (ML) algorithms are increasingly used in nowcasting in addition to numerical fog forecasts be…
View article: Assessment of Satellite-Based Rainfall Products Using a X-Band Rain Radar Network in the Complex Terrain of the Ecuadorian Andes
Assessment of Satellite-Based Rainfall Products Using a X-Band Rain Radar Network in the Complex Terrain of the Ecuadorian Andes Open
Ground based rainfall information is hardly available in most high mountain areas of the world due to the remoteness and complex topography. Thus, proper understanding of spatio-temporal rainfall dynamics still remains a challenge in those…
View article: The European Heat Wave 2018: The Dendroecological Response of Oak and Spruce in Western Germany
The European Heat Wave 2018: The Dendroecological Response of Oak and Spruce in Western Germany Open
The European heat wave of 2018 was characterized by extraordinarily dry and hot spring and summer conditions in many central and northern European countries. The average temperatures from June to August 2018 were the second highest since 1…
View article: Random forest-based rainfall retrieval for Ecuador using GOES-16 and IMERG-V06 data
Random forest-based rainfall retrieval for Ecuador using GOES-16 and IMERG-V06 data Open
A new satellite-based algorithm for rainfall retrieval in high spatio-temporal resolution for Ecuador is presented. The algorithm relies on the precipitation information from the Integrated Multi-SatEllite Retrieval for the Global Precipit…
View article: Intercomparison of Gridded Precipitation Datasets over a Sub-Region of the Central Himalaya and the Southwestern Tibetan Plateau
Intercomparison of Gridded Precipitation Datasets over a Sub-Region of the Central Himalaya and the Southwestern Tibetan Plateau Open
Precipitation is a central quantity of hydrometeorological research and applications. Especially in complex terrain, such as in High Mountain Asia (HMA), surface precipitation observations are scarce. Gridded precipitation products are one…
View article: Correction: Kolbe, C., et al. Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit—Part 2: Precipitation Rates with Elektro-L2 and Insat-3D. Remote Sensing 2020, 12, 2114
Correction: Kolbe, C., et al. Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit—Part 2: Precipitation Rates with Elektro-L2 and Insat-3D. Remote Sensing 2020, 12, 2114 Open
The authors wish to make the following corrections to this paper [...]
View article: Fog and Low Stratus Obstruction of Wind Lidar Observations in Germany—A Remote Sensing-Based Data Set for Wind Energy Planning
Fog and Low Stratus Obstruction of Wind Lidar Observations in Germany—A Remote Sensing-Based Data Set for Wind Energy Planning Open
Coherent wind doppler lidar (CWDL) is a cost-effective way to estimate wind power potential at hub height without the need to build a meteorological tower. However, fog and low stratus (FLS) can have a negative impact on the availability o…
View article: Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit—Part 2: Precipitation Rates with Elektro-L2 and Insat-3D
Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit—Part 2: Precipitation Rates with Elektro-L2 and Insat-3D Open
We present the new Precipitation REtrieval covering the TIbetan Plateau (PRETIP) as a feasibility study using the two geostationary (GEO) satellites Elektro-L2 and Insat-3D with reference to the GPM (Global Precipitation Measurement Missio…
View article: Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit
Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit Open
<p>The distribution of precipitation on the Tibetan Plateau (TiP) is not yet understood due to various factors. Satellite-based precipitation retrieval can provide comprehensive information in a high spatial-temporal resolution. The …
View article: Retrieving high resolution rainfall data for Ecuador using GOES-16 and IMERG data
Retrieving high resolution rainfall data for Ecuador using GOES-16 and IMERG data Open
<p>Accurate rainfall information in high spatio-temporal resolution is important for water resource management, particularly in water-scarce remote areas which are characterized by a coarse network of operational precipitation gauge …
View article: Estimating High Spatio-Temporal Resolution Rainfall from MSG1 and GPM IMERG Based on Machine Learning: Case Study of Iran
Estimating High Spatio-Temporal Resolution Rainfall from MSG1 and GPM IMERG Based on Machine Learning: Case Study of Iran Open
A new satellite-based technique for rainfall retrieval in high spatio-temporal resolution (3 km, 15 min) for Iran is presented. The algorithm is based on the infrared bands of the Meteosat Second Generation Spinning Enhanced Visible and In…
View article: Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit—Part 1: Precipitation Area Delineation with Elektro-L2 and Insat-3D
Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit—Part 1: Precipitation Area Delineation with Elektro-L2 and Insat-3D Open
The lack of long term and well distributed precipitation observations on the Tibetan Plateau (TiP) with its complex terrain raises the need for other sources of precipitation data for this area. Satellite-based precipitation retrievals can…
View article: Fast Cloud Segmentation Using Convolutional Neural Networks
Fast Cloud Segmentation Using Convolutional Neural Networks Open
Information about clouds is important for observing and predicting weather and climate as well as for generating and distributing solar power. Most existing approaches extract cloud information from satellite data by classifying individual…
View article: A Hybrid Approach for Fog Retrieval Based on a Combination of Satellite and Ground Truth Data
A Hybrid Approach for Fog Retrieval Based on a Combination of Satellite and Ground Truth Data Open
Fog has a substantial influence on various ecosystems and it impacts economy, traffic systems and human life in many ways. In order to be able to deal with the large number of influence factors, a spatially explicit high-resoluted data set…
View article: A Case Study on Fog/Low Stratus Occurrence at Las Lomitas, Atacama Desert (Chile) as a Water Source for Biological Soil Crusts
A Case Study on Fog/Low Stratus Occurrence at Las Lomitas, Atacama Desert (Chile) as a Water Source for Biological Soil Crusts Open
The Atacama Desert is well known for the high occurrence of large-scale fog (spatial extents: hundreds of kilometers) emerging as low stratus (LST) decks over the Pacific Ocean. By contrast, the small-scale and heterogeneous occurrence of …
View article: The Influence of Drop Size Distributions on the Relationship between Liquid Water Content and Radar Reflectivity in Radiation Fogs
The Influence of Drop Size Distributions on the Relationship between Liquid Water Content and Radar Reflectivity in Radiation Fogs Open
This study investigates the temporal dynamics of the drop size distribution (DSD) and its influence on the relationship between the liquid water content (LWC) and the radar reflectivity (Z) in fogs. Data measured during three radiation fog…
View article: Mapping the montane cloud forest of Taiwan using 12 year MODIS-derived ground fog frequency data
Mapping the montane cloud forest of Taiwan using 12 year MODIS-derived ground fog frequency data Open
Up until now montane cloud forest (MCF) in Taiwan has only been mapped for selected areas of vegetation plots. This paper presents the first comprehensive map of MCF distribution for the entire island. For its creation, a Random Forest mod…