15 Jun 2017
Evaluation of gridding procedures for air temperature over Southern Africa
Kai-Uwe Eiselt
Deutscher Wetterdienst, Frankfurter Str. 135, 63067 Offenbach, Germany
Friedrich-Alexander Universität Erlangen-Nürnberg, Institute for Geography, Erlangen, Germany
Deutscher Wetterdienst, Frankfurter Str. 135, 63067 Offenbach, Germany
Thomas Mölg
Friedrich-Alexander Universität Erlangen-Nürnberg, Institute for Geography, Erlangen, Germany
Stefan Krähenmann
Deutscher Wetterdienst, Frankfurter Str. 135, 63067 Offenbach, Germany
Rafael Posada
Deutscher Wetterdienst, Frankfurter Str. 135, 63067 Offenbach, Germany
Jens O. Riede
CORRESPONDING AUTHOR
Deutscher Wetterdienst, Frankfurter Str. 135, 63067 Offenbach, Germany
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Thomas Mölg, Jan C. Schubert, Annette Debel, Steffen Höhnle, Kathy Steppe, Sibille Wehrmann, and Achim Bräuning
Geosci. Commun., 7, 215–225, https://doi.org/10.5194/gc-7-215-2024, https://doi.org/10.5194/gc-7-215-2024, 2024
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We examine the understanding of weather and climate impacts on forest health in high school students. Climate physics, tree ring science, and educational research collaborate to provide an online platform that captures the students’ observations, showing they translate the measured weather and basic tree responses well. However, students hardly ever detect the causal connections. This result will help refine future classroom concepts and public climate change communication on changing forests.
Johannes Meuer, Laurens M. Bouwer, Frank Kaspar, Roman Lehmann, Wolfgang Karl, Thomas Ludwig, and Christopher Kadow
EGUsphere, https://doi.org/10.5194/egusphere-2024-1392, https://doi.org/10.5194/egusphere-2024-1392, 2024
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Our study focuses on filling in missing precipitation data using an advanced neural network model. Traditional methods for estimating missing climate information often struggle in large regions where data is scarce. Our solution, which incorporates recent advances in machine learning, captures the intricate patterns of precipitation over time, especially during extreme weather events. Our model shows good performance in reconstructing large regions of missing rainfall radar data.
Abhay Devasthale, Sandra Andersson, Erik Engström, Frank Kaspar, Jörg Trentmann, Anke Duguay-Tetzlaff, Jan Fokke Meirink, Erik Kjellström, Tomas Landelius, Manu Anna Thomas, and Karl-Göran Karlsson
EGUsphere, https://doi.org/10.5194/egusphere-2024-1805, https://doi.org/10.5194/egusphere-2024-1805, 2024
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Using the satellite-based climate data record CLARA-A3 spanning 1982–2020 and ERA5 reanalysis, we present climate regimes that are favourable or unfavourable for solar energy applications. We show that the favourable climate regimes are emerging over much of Europe during spring and early summer for solar energy exploitation.
Torsten Kanzow, Angelika Humbert, Thomas Mölg, Mirko Scheinert, Matthias Braun, Hans Burchard, Francesca Doglioni, Philipp Hochreuther, Martin Horwath, Oliver Huhn, Jürgen Kusche, Erik Loebel, Katrina Lutz, Ben Marzeion, Rebecca McPherson, Mahdi Mohammadi-Aragh, Marco Möller, Carolyne Pickler, Markus Reinert, Monika Rhein, Martin Rückamp, Janin Schaffer, Muhammad Shafeeque, Sophie Stolzenberger, Ralph Timmermann, Jenny Turton, Claudia Wekerle, and Ole Zeising
EGUsphere, https://doi.org/10.5194/egusphere-2024-757, https://doi.org/10.5194/egusphere-2024-757, 2024
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The Greenland Ice Sheet represents the second-largest contributor to global sea-level rise. We quantify atmosphere, ice and ocean-based processes related to the mass balance of glaciers in Northeast Greenland, focusing on Greenland’s largest floating ice tongue, the 79N Glacier. We find that together, the different in situ and remote sensing observations and model simulations to reveal a consistent picture of a coupled atmosphere-ice sheet-ocean system, that has entered a phase of major change.
Annelies Voordendag, Brigitta Goger, Rainer Prinz, Tobias Sauter, Thomas Mölg, Manuel Saigger, and Georg Kaser
The Cryosphere, 18, 849–868, https://doi.org/10.5194/tc-18-849-2024, https://doi.org/10.5194/tc-18-849-2024, 2024
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Wind-driven snow redistribution affects glacier mass balance. A case study of Hintereisferner glacier in Austria used high-resolution observations and simulations to model snow redistribution. Simulations matched observations, showing the potential of the model for studying snow redistribution on other mountain glaciers.
Thomas Spangehl, Michael Borsche, Deborah Niermann, Frank Kaspar, Semjon Schimanke, Susanne Brienen, Thomas Möller, and Maren Brast
Adv. Sci. Res., 20, 109–128, https://doi.org/10.5194/asr-20-109-2023, https://doi.org/10.5194/asr-20-109-2023, 2023
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The quality of the global reanalysis ERA5, the regional reanalysis COSMO-REA6 and a successor version (R6G2), the new Copernicus European Regional Re-Analysis (CERRA) and a regional downscaling simulation with COSMO-CLM (HoKliSim-De) is assessed for offshore wind farm planning in the German Exclusive Economic Zone (EEZ) of the North Sea. The quality is assessed using in-situ wind measurements at the research platform FINO1 and satellite-based data of the near-surface wind speed as reference.
Katharina Lengfeld, Paul Voit, Frank Kaspar, and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 23, 1227–1232, https://doi.org/10.5194/nhess-23-1227-2023, https://doi.org/10.5194/nhess-23-1227-2023, 2023
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Estimating the severity of a rainfall event based on the damage caused is easy but highly depends on the affected region. A less biased measure for the extremeness of an event is its rarity combined with its spatial extent. In this brief communication, we investigate the sensitivity of such measures to the underlying dataset and highlight the importance of considering multiple spatial and temporal scales using the devastating rainfall event in July 2021 in central Europe as an example.
Alberto Caldas-Alvarez, Markus Augenstein, Georgy Ayzel, Klemens Barfus, Ribu Cherian, Lisa Dillenardt, Felix Fauer, Hendrik Feldmann, Maik Heistermann, Alexia Karwat, Frank Kaspar, Heidi Kreibich, Etor Emanuel Lucio-Eceiza, Edmund P. Meredith, Susanna Mohr, Deborah Niermann, Stephan Pfahl, Florian Ruff, Henning W. Rust, Lukas Schoppa, Thomas Schwitalla, Stella Steidl, Annegret H. Thieken, Jordis S. Tradowsky, Volker Wulfmeyer, and Johannes Quaas
Nat. Hazards Earth Syst. Sci., 22, 3701–3724, https://doi.org/10.5194/nhess-22-3701-2022, https://doi.org/10.5194/nhess-22-3701-2022, 2022
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In a warming climate, extreme precipitation events are becoming more frequent. To advance our knowledge on such phenomena, we present a multidisciplinary analysis of a selected case study that took place on 29 June 2017 in the Berlin metropolitan area. Our analysis provides evidence of the extremeness of the case from the atmospheric and the impacts perspectives as well as new insights on the physical mechanisms of the event at the meteorological and climate scales.
Jonathan P. Conway, Jakob Abermann, Liss M. Andreassen, Mohd Farooq Azam, Nicolas J. Cullen, Noel Fitzpatrick, Rianne H. Giesen, Kirsty Langley, Shelley MacDonell, Thomas Mölg, Valentina Radić, Carleen H. Reijmer, and Jean-Emmanuel Sicart
The Cryosphere, 16, 3331–3356, https://doi.org/10.5194/tc-16-3331-2022, https://doi.org/10.5194/tc-16-3331-2022, 2022
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We used data from automatic weather stations on 16 glaciers to show how clouds influence glacier melt in different climates around the world. We found surface melt was always more frequent when it was cloudy but was not universally faster or slower than under clear-sky conditions. Also, air temperature was related to clouds in opposite ways in different climates – warmer with clouds in cold climates and vice versa. These results will help us improve how we model past and future glacier melt.
Emily Collier and Thomas Mölg
Earth Syst. Sci. Data, 12, 3097–3112, https://doi.org/10.5194/essd-12-3097-2020, https://doi.org/10.5194/essd-12-3097-2020, 2020
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As part of a recent project that aims to investigate the impact of climate change on forest ecosystems in Bavaria, we developed a high-resolution atmospheric dataset, BAYWRF, for this region that covers the period of September 1987 to August 2018. The data reproduce observed variability in recent meteorological conditions well and provide a useful tool for linking large-scale climate change to local impacts on economic, societal, ecological, and agricultural processes.
Catrin Stadelmann, Johannes Jakob Fürst, Thomas Mölg, and Matthias Braun
The Cryosphere, 14, 3399–3406, https://doi.org/10.5194/tc-14-3399-2020, https://doi.org/10.5194/tc-14-3399-2020, 2020
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The glaciers on Kilimanjaro are unique indicators for climatic changes in the tropical midtroposphere of Africa. A history of severe glacier area loss raises concerns about an imminent future disappearance. Yet the remaining ice volume is not well known. Here, we reconstruct ice thickness maps for the two largest remaining ice bodies to assess the current glacier state. We believe that our approach could provide a means for a glacier-specific calibration of reconstructions on different scales.
Christopher W. Frank, Frank Kaspar, Jan D. Keller, Till Adams, Miriam Felkers, Bernd Fischer, Marcus Handte, Pedro José Marrón, Hinrich Paulsen, Markus Neteler, Jochen Schiewe, Marvin Schuchert, Christian Nickel, Richard Wacker, and Richard Figura
Adv. Sci. Res., 17, 183–190, https://doi.org/10.5194/asr-17-183-2020, https://doi.org/10.5194/asr-17-183-2020, 2020
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Access to high quality weather and climate data is crucial for a wide range of societal and economic issues. It allows optimising industrial processes with respect to efficiency. The goal of the research project FAIR is to simplify the information exchange between the DWD and economical players. This paper summarizes the results of the requirement analysis of three use cases and presents the deduced technical architecture and FAIR services aiming at a user-friendly exchange of weather data.
Thomas Mölg, Douglas R. Hardy, Emily Collier, Elena Kropač, Christina Schmid, Nicolas J. Cullen, Georg Kaser, Rainer Prinz, and Michael Winkler
Earth Syst. Dynam., 11, 653–672, https://doi.org/10.5194/esd-11-653-2020, https://doi.org/10.5194/esd-11-653-2020, 2020
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The glaciers on Kilimanjaro summit are like sample spots of the climate in the tropical mid-troposphere. Measurements of air temperature, air humidity, and precipitation with automated weather stations show that the differences in these meteorological elements between two altitudes (~ 5600 and ~ 5900 m) vary significantly over the day and the seasons, in concert with airflow dynamics around the mountain. Knowledge of these variations will improve atmosphere and cryosphere models.
Frank Kaspar, Deborah Niermann, Michael Borsche, Stephanie Fiedler, Jan Keller, Roland Potthast, Thomas Rösch, Thomas Spangehl, and Birger Tinz
Adv. Sci. Res., 17, 115–128, https://doi.org/10.5194/asr-17-115-2020, https://doi.org/10.5194/asr-17-115-2020, 2020
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Reanalyses are long-term meteorological datasets that are based on numerical weather prediction models and the assimilation of historic observations. The regional model COSMO of Germany’s national meteorological service (Deutscher Wetterdienst) has been used to develop regional reanalyses with spatial resolution of up to 2 km. In this paper, we provide an overview of evaluation results and application examples at the European and national German level with a focus on renewable energy.
Jenny V. Turton, Thomas Mölg, and Emily Collier
Earth Syst. Sci. Data, 12, 1191–1202, https://doi.org/10.5194/essd-12-1191-2020, https://doi.org/10.5194/essd-12-1191-2020, 2020
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The Northeast Greenland Ice Stream drains approximately 12 % of the entire Greenland ice sheet and could contribute over 1 m of sea level rise if it were to completely disappear. However, this region is a relatively new research area. Here we provide an atmospheric modelling dataset from 2014 to 2018, which includes many meteorological and radiation variables. The model data have been compared to weather stations and show good agreement. This dataset has many future applications.
Lisa Hannak, Karsten Friedrich, Florian Imbery, and Frank Kaspar
Adv. Sci. Res., 16, 175–183, https://doi.org/10.5194/asr-16-175-2019, https://doi.org/10.5194/asr-16-175-2019, 2019
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In order to analyze the impact on long time series by the transition from manual to automatic sunshine duration devices, parallel measurements of German climate reference stations are used. The different measurement principles (glass sphere and photodiode) cause systematic differences between the observations. With a linear regression model (used to adjust the automatic measurements) we want to prevent breaks in long time series of daily sunshine duration.
Frank Kaspar, Michael Borsche, Uwe Pfeifroth, Jörg Trentmann, Jaqueline Drücke, and Paul Becker
Adv. Sci. Res., 16, 119–128, https://doi.org/10.5194/asr-16-119-2019, https://doi.org/10.5194/asr-16-119-2019, 2019
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In this study, we assess balancing effects between photovoltaics and wind energy. On average, the seasonal cycles complement each other in Germany as well as in Europe. The frequency of events with a risk of low electricity generation is analyzed. The results illustrate that the number of such events is reduced when offshore regions are included, or when a combined system of PV and wind energy is considered. A European-wide analysis also leads to a distinct reduction of such events.
Frank Kaspar, Frank Kratzenstein, and Andrea K. Kaiser-Weiss
Adv. Sci. Res., 16, 75–83, https://doi.org/10.5194/asr-16-75-2019, https://doi.org/10.5194/asr-16-75-2019, 2019
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During recent years, Germany’s national meteorological service has significantly expanded the open access to its climate observations. To improve the interactive and user-friendly access to the data, a new data portal has been developed. The portal serves a variety of user requirements that result from the broad range of applications of DWD’s climate data. The focus of the recent developments was on improved access to German station data.
Stephan Peter Galos, Christoph Klug, Fabien Maussion, Federico Covi, Lindsey Nicholson, Lorenzo Rieg, Wolfgang Gurgiser, Thomas Mölg, and Georg Kaser
The Cryosphere, 11, 1417–1439, https://doi.org/10.5194/tc-11-1417-2017, https://doi.org/10.5194/tc-11-1417-2017, 2017
Frank Kaspar, Lisa Hannak, and Klaus-Jürgen Schreiber
Adv. Sci. Res., 13, 163–171, https://doi.org/10.5194/asr-13-163-2016, https://doi.org/10.5194/asr-13-163-2016, 2016
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Germany's national meteorological service (DWD) operates a network of so-called climate reference stations. At these stations parallel measurements are performed in order to allow the comparison of manual and automatic observations. We present an analysis of parallel measurements of temperature at 2 m height. It is shown that the automation of stations did not cause an artificial increase in the series of daily mean temperature. A bias occurs for maximum temperature in specific configurations.
Michael Borsche, Andrea K. Kaiser-Weiss, and Frank Kaspar
Adv. Sci. Res., 13, 151–161, https://doi.org/10.5194/asr-13-151-2016, https://doi.org/10.5194/asr-13-151-2016, 2016
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Wind speeds derived from the regional reanalysis COSMO-REA6 and from two global reanalyses of ECMWF (ERA-Interim and ERA-20C) have been compared to tower measurements covering heights from 10 m up to 140 m, located in the North Sea, in The Netherlands, and in Northeast Germany. In general, the monthly and hourly mean values of COSMO-REA6 are at least as close to the measurements as the global reanalyses, and in the correlation of daily means an added value of COSMO-REA6 is found.
Sven Brinckmann, Stefan Krähenmann, and Peter Bissolli
Earth Syst. Sci. Data, 8, 491–516, https://doi.org/10.5194/essd-8-491-2016, https://doi.org/10.5194/essd-8-491-2016, 2016
Rafael Posada, Domingos Nascimento, Francisco Osvaldo S. Neto, Jens Riede, and Frank Kaspar
Adv. Sci. Res., 13, 97–105, https://doi.org/10.5194/asr-13-97-2016, https://doi.org/10.5194/asr-13-97-2016, 2016
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To respond to the challenges of climate change, Angola, Botswana, Germany, Namibia, South Africa and Zambia have initiated the regional competence centre SASSCAL. As part of the initiative, Deutscher Wetterdienst (DWD) cooperates with the meteorological services of Angola, Botswana and Zambia to improve the management of climate data. First results of the cooperation between DWD and the Angolan Meteorological Services (INAMET) are presented in order to provide hints for comparable activities.
R. Prinz, L. I. Nicholson, T. Mölg, W. Gurgiser, and G. Kaser
The Cryosphere, 10, 133–148, https://doi.org/10.5194/tc-10-133-2016, https://doi.org/10.5194/tc-10-133-2016, 2016
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Lewis Glacier has lost > 80 % of its extent since the late 19th century. A sensitivity study using a process-based model assigns this shrinking to decreased atmospheric moisture without increasing air temperatures required. The glacier retreat implies a distinctly different coupling between the glacier's surface-air layer and its surrounding boundary layer, underlining the difficulty of deriving palaeoclimates for larger glacier extents on the basis of modern measurements of small glaciers.
M. Borsche, A. K. Kaiser-Weiss, P. Undén, and F. Kaspar
Adv. Sci. Res., 12, 207–218, https://doi.org/10.5194/asr-12-207-2015, https://doi.org/10.5194/asr-12-207-2015, 2015
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Within the European Union’s seventh Framework Programme project Uncertainties in Ensembles of Regional Re-Analyses (UERRA), ensembles of RRAs covering the European area are produced and their uncertainties are quantified. In this study, we discuss different methods for quantifying the uncertainty of RRAs in order to answer the question to which extent the smaller scale information (or resulting statistics) provided by the RRAs can be relied on.
E. Collier, F. Maussion, L. I. Nicholson, T. Mölg, W. W. Immerzeel, and A. B. G. Bush
The Cryosphere, 9, 1617–1632, https://doi.org/10.5194/tc-9-1617-2015, https://doi.org/10.5194/tc-9-1617-2015, 2015
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We investigate the impact of surface debris on glacier energy and mass fluxes and on atmosphere-glacier feedbacks in the Karakoram range, by including debris in an interactively coupled atmosphere-glacier model. The model is run from 1 May to 1 October 2004, with a simple specification of debris thickness. We find an appreciable reduction in ablation that exceeds 5m w.e. on glacier tongues, as well as significant alterations to near-surface air temperatures and boundary layer dynamics.
A. K. Kaiser-Weiss, F. Kaspar, V. Heene, M. Borsche, D. G. H. Tan, P. Poli, A. Obregon, and H. Gregow
Adv. Sci. Res., 12, 187–198, https://doi.org/10.5194/asr-12-187-2015, https://doi.org/10.5194/asr-12-187-2015, 2015
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Wind speed measured at the German stations correlate well with reanalysis fields. Monthly means from two global reanalyses (ERA-20C, ERA-Interim) and one regional reanalysis (COSMO-REA6) were analysed and correlate well for the majority of the German stations. Thus we conclude that the monthly and seasonal anomalies recorded at these stations can be understood as representative for a spatial area comparable to the resolution of the reanalyses, at least for the recent years.
F. Kaspar, J. Helmschrot, A. Mhanda, M. Butale, W. de Clercq, J. K. Kanyanga, F. O. S. Neto, S. Kruger, M. Castro Matsheka, G. Muche, T. Hillmann, K. Josenhans, R. Posada, J. Riede, M. Seely, C. Ribeiro, P. Kenabatho, R. Vogt, and N. Jürgens
Adv. Sci. Res., 12, 171–177, https://doi.org/10.5194/asr-12-171-2015, https://doi.org/10.5194/asr-12-171-2015, 2015
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One task of the “Southern African Science Service Centre for Climate Change and Adaptive Land Management” (www.sasscal.org) is the provision of climate data for Southern Africa. Extension and improvements of observational networks in Angola, Botswana, Namibia, Zambia and South Africa are supported. This effort is complemented by an improvement of climate data management at national weather authorities, capacity building activities and an extension of the data bases with historical climate data.
H. Gregow, P. Poli, H. M. Mäkelä, K. Jylhä, A. K. Kaiser-Weiss, A. Obregon, D. G. H. Tan, S. Kekki, and F. Kaspar
Adv. Sci. Res., 12, 63–67, https://doi.org/10.5194/asr-12-63-2015, https://doi.org/10.5194/asr-12-63-2015, 2015
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Many users of climate information are unaware of the availability of reanalysis feedback data and input observations, and uptake of feedback data is rather low. The most important factors limiting the use of this data is that the users feel that there is no easy interface to get the data or they do not find it at all. The relevant communities should invest resources to develop tools and provide training to bridge the gap between current capabilities and comprehensive exploitation of the data.
F. Kaspar, B. Tinz, H. Mächel, and L. Gates
Adv. Sci. Res., 12, 57–61, https://doi.org/10.5194/asr-12-57-2015, https://doi.org/10.5194/asr-12-57-2015, 2015
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Germany’s national meteorological service (Deutscher Wetterdienst, DWD) houses in Offenbach and Hamburg huge archives of historical handwritten journals of weather observations. They comprise not only observations from Germany, but also of the oceans and land stations in many parts of the world. DWD works on the digitisation and quality control of these archives. The paper presents the current status.
F. Kaspar, K. Zimmermann, and C. Polte-Rudolf
Adv. Sci. Res., 11, 93–99, https://doi.org/10.5194/asr-11-93-2014, https://doi.org/10.5194/asr-11-93-2014, 2014
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Plant phenology is the study of periodically recurring patterns of growth and development of plants during the year. First plant phenological observations have been performed in Germany already in the 18th century. Today, Germany’s national meteorological service (Deutscher Wetterdienst, DWD) maintains a dense phenological observation network and a database with phenological observations.
M. Hofer, B. Marzeion, and T. Mölg
Geosci. Model Dev., 8, 579–593, https://doi.org/10.5194/gmd-8-579-2015, https://doi.org/10.5194/gmd-8-579-2015, 2015
S. MacDonell, C. Kinnard, T. Mölg, L. Nicholson, and J. Abermann
The Cryosphere, 7, 1513–1526, https://doi.org/10.5194/tc-7-1513-2013, https://doi.org/10.5194/tc-7-1513-2013, 2013
F. Kaspar, G. Müller-Westermeier, E. Penda, H. Mächel, K. Zimmermann, A. Kaiser-Weiss, and T. Deutschländer
Adv. Sci. Res., 10, 99–106, https://doi.org/10.5194/asr-10-99-2013, https://doi.org/10.5194/asr-10-99-2013, 2013
K.-G. Karlsson, A. Riihelä, R. Müller, J. F. Meirink, J. Sedlar, M. Stengel, M. Lockhoff, J. Trentmann, F. Kaspar, R. Hollmann, and E. Wolters
Atmos. Chem. Phys., 13, 5351–5367, https://doi.org/10.5194/acp-13-5351-2013, https://doi.org/10.5194/acp-13-5351-2013, 2013
A. Riihelä, T. Manninen, V. Laine, K. Andersson, and F. Kaspar
Atmos. Chem. Phys., 13, 3743–3762, https://doi.org/10.5194/acp-13-3743-2013, https://doi.org/10.5194/acp-13-3743-2013, 2013
T. Mölg, F. Maussion, W. Yang, and D. Scherer
The Cryosphere, 6, 1445–1461, https://doi.org/10.5194/tc-6-1445-2012, https://doi.org/10.5194/tc-6-1445-2012, 2012
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Short summary
As one element of the SASSCAL initiative (a cooperation of Angola, Botswana, Namibia, Zambia, South Africa and Germany) networks of automatic weather stations have been installed or improved in Southern Africa. Here we compare interpolation methods for monthly minimum and maximum temperatures which were calculated from hourly measurements. The best interpolation results have been achieved combining multiple linear regression with three dimensional inverse distance weighted interpolation.
As one element of the SASSCAL initiative (a cooperation of Angola, Botswana, Namibia, Zambia,...
