scholarly journals Interactive access to climate data from Germany

2021 ◽  
Author(s):  
Frank Kratzenstein ◽  
Frank Kaspar

<p>In recent years, the DWD has significantly expanded free access to its climate observations. A first step was a simple FTP site with the possibility to download archives with different data categories, e.g. national and international station-based meteorological data, derived parameters, gridded products, and special categories like phenological data. The data are based on the DWD's observation systems for Germany as well as on the DWD's international activities.</p><p>Based on the consistent implementation of OGC standards, an interactive and user-friendly access to the data has been created with the development of the DWD climate portal.</p><p>In addition to browsing, previewing, running basic analysis and downloading the data, the available OGC services enable users to set up their own services on the DWD data. Along with the free and extended access to the data and services, the users' demands on the availability, quality, and detail of the metadata also increased significantly. Maintaining and linking metadata to the opendata and services remains a challenge. However, INSPIRE and WIGOS are paving the way to a unified solution and overcoming the problems.</p><p>Another challenging requirement was to provide interactive access to long time series from gridded products to the users. To accomplish this, we have moved away from a previously file-based approach to storing the raster data as a georaster in an Oracle database. This design allows us a combined analysis of raster and station data not only in the climate data portal but also in the central climate database.</p><p>The presentation will provide a technical and functional overview of the DWD climate data portal.</p>

2019 ◽  
Vol 16 ◽  
pp. 75-83 ◽  
Author(s):  
Frank Kaspar ◽  
Frank Kratzenstein ◽  
Andrea K. Kaiser-Weiss

Abstract. During recent years, Germany's national meteorological service (Deutscher Wetterdienst, DWD) has significantly expanded the open access to its climate observations. A first step was a simple FTP-site with the possibility for downloading archives with various categories of data, e.g. national and international station-based meteorological data, derived parameters, gridded products and special categories as e.g. phenological data. The data are based on the observing systems of DWD for Germany as well as international activities of DWD. To improve the interactive and user-friendly access to the data, a new 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. Here we provide an overview of the new climate data portal of DWD. It is based on a systematic implementation of OGC-based technologies. It allows easy graphical access to the station data, but also supports access via technical interfaces, esp. Web-Map- and Web-Feature-Services.


2021 ◽  
Author(s):  
Björn Reetz ◽  
Hella Riede ◽  
Dirk Fuchs ◽  
Renate Hagedorn

<p>Since 2017, Open Data has been a part of the DWD data distribution strategy. Starting with a small selection of meteorological products, the number of available datasets has grown continuously over the last years. Since the start, users can access datasets anonymously via the website https://opendata.dwd.de to download file-based meteorological products. Free access and the variety of products has been welcomed by the general public as well as private met service providers. The more datasets are provided in a directory structure, however, the more tedious it is to find and select among all available data. Also, metadata and documentation were available, but on separate public websites. This turned out to be an issue, especially for new users of DWD's open data.</p><p>To help users explore the available datasets as well as to quickly decide on their suitability for a certain use case, the Open Data team at DWD is developing a geoportal. It enables free-text search along with combined access to data, metadata, and description along with interactive previews via OGC WMS.</p><p>Cloud technology is a suitable way forward for hosting the geoportal along with the data in its operational state. Benefits are expected for the easy integration of rich APIs with the geoportal, and the flexible and fast deployment and scaling of optional or prototypical services such as WMS-based previews. Flexibility is also mandatory to respond to fluctuating user demands, depending on time of day and critical weather situations, which is supported by containerization. The growing overall volume of meteorological data at DWD may mandate to allow customers to bring their code to the data – for on-demand processing including slicing and interpolation –  instead of transferring files to every customer. Shared cloud instances are the ideal interface for this purpose.</p><p>The contribution will outline a protoype version of the new geoportal and discuss further steps for launching it to the public.</p>


2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Huaiping Zhu ◽  
Jinliang Liu ◽  
Xiaolan Zhou ◽  
Xiaoyu Chen ◽  
Xin Qiu ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Yaqiong Zang ◽  
Junhu Dai ◽  
Zexing Tao ◽  
Huanjiong Wang ◽  
Quansheng Ge

Climate change could affect botanical tourism by altering the plant phenology (e.g., flowering and leaf coloring date) and the physical comfort of tourists. To date, few studies have simultaneously considered the influence of plant phenology and physical comfort on the travel suitability of botanical tourism. Taking Beijing as an example, this study used phenological data of 73 species from 1963 to 2017 to construct a phenological ornamental index (POI) according to the flowering and leaf coloring date of ornamental plant. The climate comfort index (CCI) of tourism was calculated by using meteorological data of the corresponding periods. Finally, the travel suitability index (TSI) was constructed by integrating the two indices (POI and CCI). The POI showed that the best period for spring flower viewing was from April 4 to May 10, while the best period for autumn leaves viewing was from October 11 to November 6 on average. According to the variation of the CCI within the year, the most comfortable period for spring tourism was matched with the best period for spring flower viewing (April 4 to June 1), but the most comfortable period for autumn tourism (September 4 to October 19) was earlier than the best period for autumn leaves viewing. The TSI indicated that the best periods for spring and autumn botanical tourism were April 7 to May 10 and October 10 to November 7, respectively. Based on the climate data under different scenarios (representative concentration pathways 4.5 and 8.5), we simulated the climate and phenological suitability for botanical tourism in the next thirty years. The results showed that the best period for spring botanical tourism during 2040–2050 was earlier and the period for autumn botanical tourism was later than that in the past 55 years. Meanwhile, the duration would shorten by 2–7 days for both seasons. This study provided a reference for assessing the impact of global climate change on the best season of botanical tourism.


Author(s):  
Nakkazi Maria Theresa ◽  
Jotham Ivan Sempewo ◽  
Martin Dahlin Tumutungire ◽  
Jimmy Byakatonda

Abstract Data scarcity has been a huge problem in modelling various catchments especially in the tropical region. Satellite data and different statistical methods are being used to improve the quality of conventional meteorological data. However, the potential of using these data needs to be further investigated. This paper evaluates the performance of three reanalysis datasets in hydrological modelling of the Manafwa Catchment, Uganda. Two reanalysis datasets were selected for studying both rainfall and temperature in Manafwa, whereas a satellite algorithm was selected for studying rainfall alone. The Modern-Era Retrospective Analysis for Research and Applications (MERRA-2), which has a horizontal resolution of 50 km and is suitable for investigating rainfall in small precipitation systems, and the Climate Forecast System Reanalysis and Reforecast (CFSR), which has a horizontal resolution of 38 km, were chosen as the reanalysis datasets. The Tropical Rainfall Measuring Mission (TRMM3B42) data were used as the satellite product in this study. The SWAT was set up to compare the performance of reanalysis datasets with that of the observed data. The model performance indicators indicated that, at daily time steps, all the three datasets produced the values of Nash–Sutcliff Efficiency (NSE≥0.4), coefficient of determination (R2≥0.4) and Percent Bias ±25%. Despite a general underperformance compared to MERRA-2, CFSR performed better than TRMM. On applying generated bias corrections for precipitation and temperature climate data, overall results showed that the bias-corrected data outperformed the original data. We conclude that, in the absence of gauged hydro-meteorological data, bias-corrected MERRA-2, CFSR and TRMM data could be used for simulating river discharge in data-scarce areas such as the tropical catchments in Uganda.


2021 ◽  
Vol 12 ◽  
pp. 215013272098771
Author(s):  
S. M. Rashed Ul Islam ◽  
Tahmina Akther ◽  
Md. Abdullah Omar Nasif ◽  
Sharmin Sultana ◽  
Saif Ullah Munshi

SARS-CoV-2 initially emerged in Wuhan, China in late 2019. It has since been recognized as a pandemic and has led to great social and economic disruption globally. The Reverse Transcriptase Real-Time Polymerase Chain Reaction (rtRT-PCR) has become the primary method for COVID-19 testing worldwide. The method requires a specialized laboratory set up. Long-term persistence of SARS-CoV-2 RNA in nasopharyngeal secretion after full clinical recovery of the patient is regularly observed nowadays. This forces the patients to spend a longer period in isolation and test repeatedly to obtain evidence of viral clearance. Repeated COVID-19 testing in asymptomatic or mildly symptomatic cases often leads to extra workload for laboratories that are already struggling with a high specimen turnover. Here, we present 5 purposively selected cases with different patterns of clinical presentations in which nasopharyngeal shedding of SARS-CoV-2 RNA was observed in patients for a long time. From these case studies, we emphasized the adoption of a symptom-based approach for discontinuing transmission-based precautions over a test-based strategy to reduce the time spent by asymptomatic and mildly symptomatic COVID-19 patients in isolation. A symptom-based approach will also help reduce laboratory burden for COVID-19 testing as well as conserve valuable resources and supplies utilized for rtRT-PCR testing in an emerging lower-middle-income setting. Most importantly, it will also make room for critically ill COVID-19 patients to visit or avail COVID-19 testing at their convenience.


2021 ◽  
Vol 23 (11) ◽  
pp. 381-401
Author(s):  
Umar Abdullahi Tawfiq ◽  
◽  
Shohaimi Shamarina ◽  
Syafinaz Amin Nordin ◽  
Mohd Noor Hisham Mohd Nadzir ◽  
...  

Typhoid is a life-threatening disease that has remained endemic in parts of Africa and Asia where its burden is elevated by the inefficiency of control efforts which have been hampered by lack of epidemiological data, among others. In Nigeria, such data is absent in most of the States like Gombe where the disease has been rife for a long time, hence, to bridge that knowledge gap, this study was set up to determine the host-associated risk factors for typhoid occurrence and recurrence in Gombe. A questionnaire that was designed and validated for this location was used to obtain data from 663 respondents using simple random sampling and analyzed using the Chi-square test for association and binomial logistic regression to obtain risk factors for typhoid occurrence and recurrence, respectively. The study revealed that occurrences were statistically significantly associated with the variables for vaccination (χ2 = 39.729, p < 0.01), having houseboy/girl (χ2 = 16.909, p < 0.01), typhoid patient at home (χ2 = 13.393, p < 0.01), hand washing before handling food (χ2 = 22.856, p < 0.01), consuming iced/frozen items (χ2 = 16.805, p < 0.01), boiling drinking water (χ2 = 49.633, p < 0.01), and eating commercially available foods/drinks (χ2 = 27.864, p < 0.01), while recurrences were statistically significantly predicted by „not sure of been vaccinated‟ (OR = 2.962, CI = 1.290 to 6.802, p < 0.01), „not having another typhoid patient at home‟ (OR = 1.799, CI = 0.998 to 3.244, p < 0.01), and „drinking unboiled water sometimes‟ (OR = 2.130, CI = 1.023 to 4.434, p < 0.01). It is believed that these findings will guide efforts by the Government for health interventions against typhoid in the study area, thus improving the quality of life for the population.


2020 ◽  
Vol 9 (2) ◽  
pp. 3-7
Author(s):  
Tang Minh Chau

Highland is a typical area in Vietnam with a great deal of unique things for people to study and discover. Among them are culture and language, the two reciprocal elements to create communities called Hill tribes. Original Hill tribes came to the Highland long time ago and set up their life based on their root culture until now. When studying about Hill tribes, we realize that their culture is very interesting and worth tracing. Therefore, how to conserve Hill tribes’ culture is what we need to take into consideration as soon as possible.


2021 ◽  
Vol 43 ◽  
pp. e56026
Author(s):  
Gabriela Leite Neves ◽  
Jorim Sousa das Virgens Filho ◽  
Maysa de Lima Leite ◽  
Frederico Fabio Mauad

Water is an essential natural resource that is being impacted by climate change. Thus, knowledge of future water availability conditions around the globe becomes necessary. Based on that, this study aimed to simulate future climate scenarios and evaluate the impact on water balance in southern Brazil. Daily data of rainfall and air temperature (maximum and minimum) were used. The meteorological data were collected in 28 locations over 30 years (1980-2009). For the data simulation, we used the climate data stochastic generator PGECLIMA_R. It was considered two scenarios of the fifth report of the Intergovernmental Panel on Climate Change (IPCC) and a scenario with the historical data trend. The water balance estimates were performed for the current data and the simulated data, through the methodology of Thornthwaite and Mather (1955). The moisture indexes were spatialized by the kriging method. These indexes were chosen as the parameters to represent the water conditions in different situations. The region assessed presented a high variability in water availability among locations; however, it did not present high water deficiency values, even with climate change. Overall, it was observed a reduction of moisture index in most sites and in all scenarios assessed, especially in the northern region when compared to the other regions. The second scenario of the IPCC (the worst situation) promoting higher reductions and dry conditions for the 2099 year. The impacts of climate change on water availability, identified in this study, can affect the general society, therefore, they must be considered in the planning and management of water resources, especially in the regional context


2021 ◽  
Author(s):  
Janette Bessembinder ◽  
Judith Klostermann ◽  
Rutger Dankers ◽  
Vladimir Djurdjevic ◽  
Tomas Halenka

&lt;p&gt;The provision of climate services to users is a fast developing field. In support of this development, the IS-ENES3 project, funded within the EC Horizon2020 program, organized three schools on &amp;#8220;Climate data for impact assessments&amp;#8221; in 2020 and 2021. In an Autumn school, a Spring school and a Summer school, climate scientists and impact scientists were brought together. An important aim of the schools was&amp;#160;to enhance interaction between Vulnerability-Impact-Adaptation (VIA) researchers, climate services providers and climate researchers. Another aim was to provide an overview of information on climate modeling, climate data, impact modelling and climate services based on the work of the IS-ENE3 project.&lt;/p&gt;&lt;p&gt;In the first three weeks a series of lectures was given, covering topics such as climate data and modelling, impact models, portals for accessing and processing climate data, setting-up impact assessments, and communication of results to stakeholders. In the last three weeks the participants worked in small groups of one climate scientist with one impact scientist on a case study under the guidance of the course lecturers. Impact and climate researchers were combined on purpose to let them experience how they could help each other.&lt;/p&gt;&lt;p&gt;Originally the schools were planned to take place on-site (e.g. in Prague) during one week; however, due to COVID-19 the schools had to be transformed to virtual schools with two weekly sessions during six weeks. Although the virtual set-up had some disadvantages (e.g. less possibilities for networking), there were also some advantages (e.g. the possibility to record the lectures and make them available to a broader audience; more time to explore and work with climate data in between the sessions, no CO&lt;sub&gt;2&lt;/sub&gt; emissions for travelling). During this presentation we will present the set-up of the schools and the conversion to a virtual school. We will focus on the lessons learnt and the evaluation of the virtual schools by the participants and give some recommendations for similar schools and how to link the climate and VIA research communities .&lt;/p&gt;


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