Michael Blaschek
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View article: Quantifying spatial uncertainty to improve soil predictions in data-sparse regions
Quantifying spatial uncertainty to improve soil predictions in data-sparse regions Open
Artificial neural networks (ANNs) are valuable tools for predicting soil properties using large datasets. However, a common challenge in soil sciences is the uneven distribution of soil samples, which often results from past sampling proje…
View article: LARA: a Lagrangian Reanalysis based on ERA5 spanning from 1940 to 2023
LARA: a Lagrangian Reanalysis based on ERA5 spanning from 1940 to 2023 Open
Meteorological reanalyses are crucial datasets in atmospheric research, providing the foundation for many scientific applications. However, most reanalyses follow a Eulerian framework, providing data at specific, fixed points in space and …
View article: LARA: a Lagrangian Reanalysis based on ERA5 spanning from 1940 to 2023
LARA: a Lagrangian Reanalysis based on ERA5 spanning from 1940 to 2023 Open
Meteorological reanalyses are crucial datasets in atmospheric research, providing the foundation for many scientific applications. However, most reanalyses follow a Eulerian framework, providing data at specific, fixed points in space and …
View article: Quantifying spatial uncertainty to improve soil predictions in data-sparse regions
Quantifying spatial uncertainty to improve soil predictions in data-sparse regions Open
Artificial Neural Networks (ANNs) are valuable tools for predicting soil properties using large datasets. However, a common challenge in soil sciences is the uneven distribution of soil samples, which often results from past sampling proje…
View article: A new computer mirror for studying air moving through space and time
A new computer mirror for studying air moving through space and time Open
Computer mirrors are important for studying air. Most computer mirrors are about fixed points in space and time. This fixed approach is good for many studies, but studies focused on going through the air could use moving points in space an…
View article: FLEXPART version 11: improved accuracy, efficiency, and flexibility
FLEXPART version 11: improved accuracy, efficiency, and flexibility Open
Numerical methods and simulation codes are essential for the advancement of our understanding of complex atmospheric processes. As technology and computer hardware continue to evolve, the development of sophisticated code is vital for accu…
View article: FLEXPART version 11: Improved accuracy, efficiency, and flexibility
FLEXPART version 11: Improved accuracy, efficiency, and flexibility Open
Numerical methods and simulation codes are essential for the advancement of our understanding of complex atmospheric processes. As technology and computer hardware continue to evolve, the development of sophisticated code is vital for accu…
View article: FLEXWEB - A flexible particle dispersion model web interface
FLEXWEB - A flexible particle dispersion model web interface Open
Flexpart (FLEXible PARTicle dispersion model) is a numerical model that simulates the dispersion of gases and aerosols in the atmosphere. In order for Flexpart to be used, it must be installed and run on a (super)computer. However, this is…
View article: FLEXPART-11: Advancements in a Lagrangian Atmospheric Model for Enhanced Accuracy, Efficiency, and Flexibility
FLEXPART-11: Advancements in a Lagrangian Atmospheric Model for Enhanced Accuracy, Efficiency, and Flexibility Open
Numerical methods and advanced simulation codes play a crucial role in helping us understand complex atmospheric processes. As technology progresses, it's important to develop sophisticated code for accurate and efficient simulations. In t…
View article: Modelling organic carbon content of southwestern German soils using visible near-infrared reflectance spectra and multi-temporal Sentinel-2 data
Modelling organic carbon content of southwestern German soils using visible near-infrared reflectance spectra and multi-temporal Sentinel-2 data Open
The sustainable management of agricultural land requires reliable information about soil physical and chemical properties. Among these properties, soil organic carbon (SOC) is a key attribute, as it serves as an important indicator for soi…
View article: Identifying radon priority areas by mapping geogenic radon potential of soils in Baden-Wuerttemberg (Germany) using machine learning algorithms
Identifying radon priority areas by mapping geogenic radon potential of soils in Baden-Wuerttemberg (Germany) using machine learning algorithms Open
Radon (222Rn) is a radioactive gas of the uranium-radium decay chain and occurs naturally in soil air. Primarily by diffusion, radon migrates to the surface and can accumulate in buildings, where it is harmful to human health because of it…
View article: Transferability of Covariates to Predict Soil Organic Carbon in Cropland Soils
Transferability of Covariates to Predict Soil Organic Carbon in Cropland Soils Open
Precise knowledge about the soil organic carbon (SOC) content in cropland soils is one requirement to design and execute effective climate and food policies. In digital soil mapping (DSM), machine learning algorithms are used to predict so…
View article: Estimating the mineral surface area of soils by measured water adsorption. Adjusting for the confounding effect of water adsorption by soil organic carbon
Estimating the mineral surface area of soils by measured water adsorption. Adjusting for the confounding effect of water adsorption by soil organic carbon Open
Specific surface area can be a strong predictor of organic carbon (SOC) contents in soils. Specific surface area can be estimated reliably and cost‐effectively from water adsorption by air‐dry soil samples, but SOC itself can also adsorb w…
View article: The EU-FP7 ERA-CLIM2 Project Contribution to Advancing Science and Production of Earth System Climate Reanalyses
The EU-FP7 ERA-CLIM2 Project Contribution to Advancing Science and Production of Earth System Climate Reanalyses Open
The European Reanalysis of Global Climate Observations 2 (ERA-CLIM2) is a European Union Seventh Framework Project started in January 2014 and due to be completed in December 2017. It aims to produce coupled reanalyses, which are physicall…
View article: Holocene North Atlantic Overturning in an atmosphere‐ocean‐sea ice model compared to proxy‐based reconstructions
Holocene North Atlantic Overturning in an atmosphere‐ocean‐sea ice model compared to proxy‐based reconstructions Open
Climate and ocean circulation in the North Atlantic region changed over the course of the Holocene, partly because of disintegrating ice sheets and partly because of an orbital‐induced insolation trend. In the Nordic Seas, this impact was …
View article: Digital soil mapping at different spatial scales using machine learning algorithms and multivariate geostatistics in a Mediterranean basin
Digital soil mapping at different spatial scales using machine learning algorithms and multivariate geostatistics in a Mediterranean basin Open
This dissertation aims at creating digital soil mapping approaches to model soil textural fractions at the field and catchment scale in Mediterranean soil types. It intends to improve the prediction accuracy of soil spatial interpolation m…
View article: The impact of Sahara desertification on Arctic cooling during the Holocene
The impact of Sahara desertification on Arctic cooling during the Holocene Open
Since the start of the Holocene, temperatures in the Arctic have steadily declined. This has been accredited to the orbitally forced decrease in summer insolation reconstructed over the same period. However, here we present climate modelli…