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Journal articles on the topic 'Hydrology – Data processing'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 January 2023

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1

Abbas, Ather, Laurie Boithias, Yakov Pachepsky, Kyunghyun Kim, Jong Ahn Chun, and Kyung Hwa Cho. "AI4Water v1.0: an open-source python package for modeling hydrological time series using data-driven methods." Geoscientific Model Development 15, no. 7 (2022): 3021–39. http://dx.doi.org/10.5194/gmd-15-3021-2022.

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Abstract. Machine learning has shown great promise for simulating hydrological phenomena. However, the development of machine-learning-based hydrological models requires advanced skills from diverse fields, such as programming and hydrological modeling. Additionally, data pre-processing and post-processing when training and testing machine learning models are a time-intensive process. In this study, we developed a python-based framework that simplifies the process of building and training machine-learning-based hydrological models and automates the process of pre-processing hydrological data a

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Faure, D., and P. Auchet. "Real time weather radar data processing for urban hydrology in Nancy." Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere 24, no. 8 (1999): 909–14. http://dx.doi.org/10.1016/s1464-1909(99)00102-1.

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Thorndahl, Søren, Thomas Einfalt, Patrick Willems, et al. "Weather radar rainfall data in urban hydrology." Hydrology and Earth System Sciences 21, no. 3 (2017): 1359–80. http://dx.doi.org/10.5194/hess-21-1359-2017.

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Abstract. Application of weather radar data in urban hydrological applications has evolved significantly during the past decade as an alternative to traditional rainfall observations with rain gauges. Advances in radar hardware, data processing, numerical models, and emerging fields within urban hydrology necessitate an updated review of the state of the art in such radar rainfall data and applications. Three key areas with significant advances over the past decade have been identified: (1) temporal and spatial resolution of rainfall data required for different types of hydrological applicatio

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E, Băutu. "Osimin - A meteorological data platform for processing SIMIN data built on open source software." Scientific Bulletin of Naval Academy XIX, no. 1 (2018): 555–60. http://dx.doi.org/10.21279/1454-864x-18-i1-083.

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In 2003, the Romanian National Institute of Meteorology and Hydrology inaugurated National Integrated Meteorological System (SIMIN), consisting of a network of stations and instruments for measurement and detection of hydro and meteorological data, a specialized communication network, a forecasting network, and a dissemination network. With a setup cost of $55 million and a national priority role, SIMIN (implemented by Lockheed Martin) is relatively black boxed even today, using proprietary technology and software. Few institutions have direct access to the data it provides. In this paper, we

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Almagro, André, Paulo Tarso S. Oliveira, Antônio Alves Meira Neto, Tirthankar Roy, and Peter Troch. "CABra: a novel large-sample dataset for Brazilian catchments." Hydrology and Earth System Sciences 25, no. 6 (2021): 3105–35. http://dx.doi.org/10.5194/hess-25-3105-2021.

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Abstract. In this paper, we present the Catchments Attributes for Brazil (CABra), which is a large-sample dataset for Brazilian catchments that includes long-term data (30 years) for 735 catchments in eight main catchment attribute classes (climate, streamflow, groundwater, geology, soil, topography, land cover, and hydrologic disturbance). We have collected and synthesized data from multiple sources (ground stations, remote sensing, and gridded datasets). To prepare the dataset, we delineated all the catchments using the Multi-Error-Removed Improved-Terrain Digital Elevation Model (MERIT DEM)

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Cisty, Milan, and Lubomir Celar. "Using R in Water Resources Education." International Journal for Innovation Education and Research 3, no. 10 (2015): 97–116. http://dx.doi.org/10.31686/ijier.vol3.iss10.451.

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This review paper will deal with the possibilities of applying the R programming language in water resources and hydrologic applications in education and research. The objective of this paper is to present some features and packages that make R a powerful environment for analysing data from the hydrology and water resources management fields, hydrological modelling, the post processing of the results of such modelling, and other task. R is maintained by statistical programmers with the support of an increasing community of users from many different backgrounds, including hydrologists, which al

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Einfalt, T., K. Arnbjerg-Nielsen, and S. Spies. "An enquiry into rainfall data measurement and processing for model use in urban hydrology." Water Science and Technology 45, no. 2 (2002): 147–52. http://dx.doi.org/10.2166/wst.2002.0040.

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Rain data are collected all over the world because water is of paramount importance to all human life. WMO has provided standards for collection and standardized data processing of daily rainfall measurements. Currently no such standards are available for gauges with a resolution suitable for urban hydrology, where the resolution in time must not exceed a few minutes. The Group on Urban Rainfall under the International Water Association has made a comparison of national standards by means of a survey of 77 questions sent to 44 countries. The paper discusses the first results of the answers of

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Nur, Achmad Surian, and M. Azhari Noor. "HYDROLOGICAL ASPECT OF BATANG ALAI WEIR WATERSHED DUE TO LAND USE CHANGES INTO MINING AREAS." CERUCUK 4, no. 1 (2021): 61. http://dx.doi.org/10.20527/crc.v4i1.3579.

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The policy of the Ministry of Energy and Mineral Resources that provides permits for mining production activities for PT. MCM in the Batang Alai River area has an impact on the hydrology of the area. This study will discuss the changes in land use in the Batang Alai River area, Batang Alai Timur District, Hulu Sungai Tengah to the aspects of high flow and low flow hydrology. The research method used is manual calculation with rational methods for high flow hydrology and calculations using the ArcSWAT 2012.10.1.18 for low flow hydrology. The data needed in the processing are rainfall data, DEM

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Lucas, Antoine, Oded Aharonson, Charles Deledalle, Alexander G. Hayes, Randolph Kirk, and Elpitha Howington-Kraus. "Insights into Titan's geology and hydrology based on enhanced image processing of Cassini RADAR data." Journal of Geophysical Research: Planets 119, no. 10 (2014): 2149–66. http://dx.doi.org/10.1002/2013je004584.

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10

Chen, Yiheng, and Dawei Han. "Big data and hydroinformatics." Journal of Hydroinformatics 18, no. 4 (2016): 599–614. http://dx.doi.org/10.2166/hydro.2016.180.

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Big data is popular in the areas of computer science, commerce and bioinformatics, but is in an early stage in hydroinformatics. Big data is originated from the extremely large datasets that cannot be processed in tolerable elapsed time with the traditional data processing methods. Using the analogy from the object-oriented programming, big data should be considered as objects encompassing the data, its characteristics and the processing methods. Hydroinformatics can benefit from the big data technology with newly emerged data, techniques and analytical tools to handle large datasets, from whi

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Harmel, R. Daren, Claire Baffaut, and Kyle Douglas-Mankin. "Review and Development of ASABE Engineering Practice 621: “Guidelines for Calibrating, Validating, and Evaluating Hydrologic and Water Quality Models”." Transactions of the ASABE 61, no. 4 (2018): 1393–401. http://dx.doi.org/10.13031/trans.12806.

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Abstract. In 2010, the Natural Resources and Environmental Systems Hydrology Committee (NRES-21) of ASABE initiated a long-term process to develop guidelines to improve modeling practice through better understanding of the calibration, validation, and evaluation process across applications and more effective interpretation and communication of model performance. This effort generated a compilation of 23 articles with model-specific descriptions and guidance (2012), a position paper outlining guidance for evaluating, interpreting, and communicating performance of hydrologic and water quality mo

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Unnikrishnan, Poornima, and V. Jothiprakash. "Data-driven multi-time-step ahead daily rainfall forecasting using singular spectrum analysis-based data pre-processing." Journal of Hydroinformatics 20, no. 3 (2017): 645–67. http://dx.doi.org/10.2166/hydro.2017.029.

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Abstract Accurate forecasting of rainfall, especially daily time-step rainfall, remains a challenging task for hydrologists' invariance with the existence of several deterministic, stochastic and data-driven models. Several researchers have fine-tuned the hydrological models by using pre-processed input data but improvement rate in prediction of daily time-step rainfall data is not up to the expected level. There are still chances to improve the accuracy of rainfall predictions with an efficient data pre-processing algorithm. Singular spectrum analysis (SSA) is one such technique found to be a

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Utama, Widya, M. Hafiizh Immaduddin, and Rista Fitri Indriani. "Physiographic Study for Hydrology of Embung Hendrosari Region, Gresik Regency." IOP Conference Series: Earth and Environmental Science 1095, no. 1 (2022): 012004. http://dx.doi.org/10.1088/1755-1315/1095/1/012004.

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Abstract This study aims to determine physiographic characteristics based on the slope and land use which affect water control in Embung Hendrosari area, Gresik. The data used in this study are DEM data, Landsat 8 image data, and river data. The slope data processing is carried out through slope classification analysis. The Landsat 8 data processing is used for land use classification analysis. The slope classification maps and land use classification maps are used to classify flow coefficients. There are five land classifications obtained in land cover classification map including agriculture

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Johansson, E., S. Berglund, T. Lindborg, et al. "Hydrological and meteorological investigations in a periglacial lake catchment near Kangerlussuaq, west Greenland – presentation of a new multi-parameter data set." Earth System Science Data 7, no. 1 (2015): 93–108. http://dx.doi.org/10.5194/essd-7-93-2015.

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Abstract. Few hydrological studies have been conducted in Greenland, other than on glacial hydrology associated with the ice sheet. Understanding permafrost hydrology and hydroclimatic change and variability, however, provides key information for understanding climate change effects and feedbacks in the Arctic landscape. This paper presents a new, extensive, and detailed hydrological and meteorological open access data set, with high temporal resolution from a 1.56 km2 permafrost catchment, with a lake underlain by a through-talik close to the ice sheet in the Kangerlussuaq region, western Gre

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Indriani, Rista Fitri, and Widya Utama. "Physiographic Study for Hydrology of Benowo Region Surabaya." IOP Conference Series: Earth and Environmental Science 1127, no. 1 (2023): 012019. http://dx.doi.org/10.1088/1755-1315/1127/1/012019.

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Abstract This study seeks to identify the physiographic characteristics based on slope and land use that influence water management in the Benowo area of Surabaya. This research utilized DEM data and Landsat 8 data. Slope analysis and land use analysis were employed in the data processing procedure. The slope classification map yielded five categories: flat, sloping, slightly steep, steep, and very steep. The land classification map featured five categories: agriculture, settlements, industrial, plantations, and waters. Based on the slope and land use, a flow coefficient analysis was performed

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Ottmann, E. J. E., and K. E. Vetter. "Computerized Water Monitoring and Data-Transmission System for Hydrology, Control, and Management." Water Science and Technology 19, no. 7 (1987): 1211. http://dx.doi.org/10.2166/wst.1987.0014.

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For many water affairs and objectives the following functions are often of great importance:–automatic and continuous measurement of parameter and control and regulation of variables–digital acquisition of data, processing, and storage of data in-situ–quick and safe teletransmission of data to a computing or service centre. Thanks to computer-aided data acquisition and automated stations, today these functions can be performed in a cost-effective way. Furthermore, it is possible to profit by the efficiency and availability of such systems for a variety of projects in the field of water managem

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Malou, T., and J. Monnier. "Covariance kernels investigation from diffusive wave equations for data assimilation in hydrology." Inverse Problems 38, no. 4 (2022): 045003. http://dx.doi.org/10.1088/1361-6420/ac509d.

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Abstract In data assimilation (DA), the estimation of the background error covariance operator is a classical and still open topic. However, this operator is often modeled using empirical information. In order to exploit at best the potential of the knowledge of the physics, the present study proposes a method to derive covariance operators from the underlying equations. In addition, Green’s kernels can be used to model covariance operators and are naturally linked to them. Therefore, Green’s kernels of equations representing physics can provide physically-derived estimates of the background e

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18

Abdollahi, Banafsheh, Fakhereh Alidoost, Davood Moshir Panahi, Rolf Hut, and Nick van de Giesen. "ERA5 and ERA-Interim Data Processing for the GlobWat Global Hydrological Model." Water 14, no. 12 (2022): 1950. http://dx.doi.org/10.3390/w14121950.

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The reproducibility of computational hydrology is gaining attention among hydrologists. Reproducibility requires open and reusable code and data, allowing users to verify results and process new datasets. The creation of input files for global hydrological models (GHMs) requires complex high-resolution gridded dataset processing, limiting the model’s reproducibility to groups with advanced programming skills. GlobWat is one of these GHMs, which was developed by the Food and Agriculture Organization (FAO) to assess irrigation water use. Although the GlobWat code and sample input data are availa

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Liakos, Leonidas, and Panos Panagos. "Challenges in the Geo-Processing of Big Soil Spatial Data." Land 11, no. 12 (2022): 2287. http://dx.doi.org/10.3390/land11122287.

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This study addressed a critical resource—soil—through the prism of processing big data at the continental scale. Rapid progress in technology and remote sensing has majorly improved data processing on extensive spatial and temporal scales. Here, the manuscript presents the results of a systematic effort to geo-process and analyze soil-relevant data. In addition, the main highlights include the difficulties associated with using data infrastructures, managing big geospatial data, decentralizing operations through remote access, mass processing, and automating the data-processing workflow using

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Utama, Widya, and Rista Fitri Indriani. "Regional Physiographic Study for the Hydrology of Kali Lamong Watershed Area." IOP Conference Series: Earth and Environmental Science 936, no. 1 (2021): 012032. http://dx.doi.org/10.1088/1755-1315/936/1/012032.

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Abstract This study aims to determine the effect of physiography based on slope and land cover for water control in Kali Lamong watershed. The data used in this research are DEM data and Landsat 8 imagery data. The process of processing slope data is through conversion coordinates system, DEM clip, create slope, reclassify, dissolve shapefile, and slope classification analysis. Landsat 8 data processing goes through a process through conversion coordinates system, composite band, crop composite, extent shapefile, sharpen band, unsupervised classification, and land cover classification analysis

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Chambers, Jonathan, Jessica Holmes, Jim Whiteley, et al. "Long-term geoelectrical monitoring of landslides in natural and engineered slopes." Leading Edge 41, no. 11 (2022): 768–76. http://dx.doi.org/10.1190/tle41110768.1.

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Developments in time-lapse electrical resistivity tomography (ERT) technology are transforming our ability to monitor the subsurface due to purpose-built monitoring instruments, advances in automation and modeling, and the resulting improvements in spatial and temporal resolution. We describe the development of a novel ERT-based remote monitoring system called PRIME that integrates new low-power measurement instrumentation with data delivery, automated data processing and image generation, and web-based information delivery. Due to the sensitivity of ERT to hydrologic processes in the near sur

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Výleta, Roman, and Peter Valent. "ADCP Discharge Measurements on the River Danube: Post-Processing and Correction of Data." Slovak Journal of Civil Engineering 27, no. 1 (2019): 7–13. http://dx.doi.org/10.2478/sjce-2019-0002.

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Abstract Accurate measurements and analyses of river discharges are one of the key tasks of hydrology. Nowadays, the traditional methods of discharge measurements are being supplemented or even replaced by novel approaches that utilize state-of-the-art technologies. One approach, which has recently become very popular in the hydrological practice both in Slovakia and abroad, is a method utilizing the Doppler effect of sound waves. In this study, a dataset of 185 discharge measurements on the River Danube was created using a RiverRay portable Acoustic Doppler Current Profiler (ADCP). All the me

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Zlinszky, A., and G. Timár. "Historic maps as a data source for socio-hydrology: a case study of the Lake Balaton wetland system, Hungary." Hydrology and Earth System Sciences 17, no. 11 (2013): 4589–606. http://dx.doi.org/10.5194/hess-17-4589-2013.

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Abstract. Socio-hydrology is the science of human influence on hydrology and the influence of the water cycle on human social systems. This newly emerging discipline inherently involves a historic perspective, often focusing on timescales of several centuries. While data on human history is typically available for this time frame, gathering information on the hydrological situation during such a period can prove difficult: measured hydrological data for such long periods are rare, while models and secondary data sets from geomorphology, pedology or archaeology are typically not accurate enough

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Seo, Bong-Chul, Witold F. Krajewski, Anton Kruger, Piotr Domaszczynski, James A. Smith, and Matthias Steiner. "Radar-rainfall estimation algorithms of Hydro-NEXRAD." Journal of Hydroinformatics 13, no. 2 (2010): 277–91. http://dx.doi.org/10.2166/hydro.2010.003.

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Hydro-NEXRAD is a prototype software system that provides hydrology and water resource communities with ready access to the vast data archives of the U.S. weather radar network known as NEXRAD (Next Generation Weather Radar). This paper describes radar-rainfall estimation algorithms and their modular components used in the Hydro-NEXRAD system to generate rainfall products to be delivered to users. A variety of customized modules implemented in Hydro-NEXRAD perform radar-reflectivity data processing, produce radar-rainfall maps with user-requested space and time resolution, and combine multiple

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Fan, Dong Li, Xi Min Cui, De Bao Yuan, Ya Hui Qiu, Kun Wang, and Xi Xi Jia. "Based on GIS and MATLAB Technology Forecast the Dynamic Variation of the Groundwater in Minqin Oasis." Applied Mechanics and Materials 195-196 (August 2012): 1327–34. http://dx.doi.org/10.4028/www.scientific.net/amm.195-196.1327.

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This paper carried out interpolation processing to the groundwater hydrology data of Minqin oasis from 2000 to 2009, via ArcGIS software. Analyzed the result, it was concluded that the distribution rule about spatio-temporal distribution and change of the groundwater depth and mineralization. Using MATLAB the program language, the grey forecasting model was well fitted compared to the time series forecasting model. For the next five years, the groundwater depth and mineralization changes were forecasted, and the author put forward some concrete proposals.

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Bessin, Zoé, Jean-Pierre Dedieu, Yves Arnaud, et al. "Processing of VENµS Images of High Mountains: A Case Study for Cryospheric and Hydro-Climatic Applications in the Everest Region (Nepal)." Remote Sensing 14, no. 5 (2022): 1098. http://dx.doi.org/10.3390/rs14051098.

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In the Central Himalayas, glaciers and snowmelt play an important hydrological role, as they ensure the availability of surface water outside the monsoon period. To compensate for the lack of field measurements in glaciology and hydrology, high temporal and spatial resolution optical remotely sensed data are necessary. The French–Israeli VENµS Earth observation mission has been able to complement field measurements since 2017. The aim of this paper is to evaluate the performance of different reflectance products over the Everest region for constraining the energy balance of glaciers and for cl

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Tang, Lin, Jian Zhang, Micheal Simpson, et al. "Updates on the Radar Data Quality Control in the MRMS Quantitative Precipitation Estimation System." Journal of Atmospheric and Oceanic Technology 37, no. 9 (2020): 1521–37. http://dx.doi.org/10.1175/jtech-d-19-0165.1.

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AbstractThe Multi-Radar-Multi-Sensor (MRMS) system was transitioned into operations at the National Centers for Environmental Prediction in the fall of 2014. It provides high-quality and high-resolution severe weather and precipitation products for meteorology, hydrology, and aviation applications. Among processing modules, the radar data quality control (QC) plays a critical role in effectively identifying and removing various nonhydrometeor radar echoes for accurate quantitative precipitation estimation (QPE). Since its initial implementation in 2014, the radar QC has undergone continuous re

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Kuczynska-Siehien, Joanna, Dimitrios Piretzidis, Michael G. Sideris, Tomasz Olszak, and Viktor Szabó. "Monitoring of extreme land hydrology events in central Poland using GRACE, land surface models and absolute gravity data." Journal of Applied Geodesy 13, no. 3 (2019): 229–43. http://dx.doi.org/10.1515/jag-2019-0003.

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Abstract This study deals with the analysis of temporal gravity variations in central Poland, deduced from multiple sources and covering the period from 2002–2016. The gravity data sets used comprise GRACE monthly solutions, GLDAS land surface models and absolute gravimeter measurements from the FG-5 gravimeter located in Józefosław, Poland. All data are corrected using standard processing methods in order to include the same gravity effects. After removing the annual and semi-annual components from all data using least-squares spectral analysis and seasonal-trend decomposition, the deseasoned

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Harpold, A. A., J. A. Marshall, S. W. Lyon, et al. "Laser vision: lidar as a transformative tool to advance critical zone science." Hydrology and Earth System Sciences Discussions 12, no. 1 (2015): 1017–58. http://dx.doi.org/10.5194/hessd-12-1017-2015.

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Abstract. Laser vision: lidar as a transformative tool to advance critical zone science. Observation and quantification of the Earth surface is undergoing a revolutionary change due to the increased spatial resolution and extent afforded by light detection and ranging (lidar) technology. As a consequence, lidar-derived information has led to fundamental discoveries within the individual disciplines of geomorphology, hydrology, and ecology. These disciplines form the cornerstones of Critical Zone (CZ) science, where researchers study how interactions among the geosphere, hydrosphere, and ecosph

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Johansson, E., S. Berglund, T. Lindborg, et al. "Hydrological and meteorological investigations in a periglacial lake catchment near Kangerlussuaq, west Greenland – presentation of a new multi-parameter dataset." Earth System Science Data Discussions 7, no. 2 (2014): 713–56. http://dx.doi.org/10.5194/essdd-7-713-2014.

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Abstract. Few hydrological studies have been made in Greenland, other than on glacial hydrology associated with the ice sheet. Understanding permafrost hydrology and hydroclimatic change and variability, however, provides key information for understanding climate change effects and feedbacks in the Arctic landscape. This paper presents a new extensive and detailed hydrological and meteorological open access dataset, with high temporal resolution from a 1.56 km2 permafrost catchment with a lake underlain by a through talik close to the ice sheet in the Kangerlussuaq region, western Greenland. T

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Ciupak, Maurycy, Bogdan Ozga-Zielinski, Jan Adamowski, Ravinesh C. Deo, and Krzysztof Kochanek. "Correcting Satellite Precipitation Data and Assimilating Satellite-Derived Soil Moisture Data to Generate Ensemble Hydrological Forecasts within the HBV Rainfall-Runoff Model." Water 11, no. 10 (2019): 2138. http://dx.doi.org/10.3390/w11102138.

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An implementation of bias correction and data assimilation using the ensemble Kalman filter (EnKF) as a procedure, dynamically coupled with the conceptual rainfall-runoff Hydrologiska Byråns Vattenbalansavdelning (HBV) model, was assessed for the hydrological modeling of seasonal hydrographs. The enhanced HBV model generated ensemble hydrographs and an average stream-flow simulation. The proposed approach was developed to examine the possibility of using data (e.g., precipitation and soil moisture) from the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Sate

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Abdul Kareem, Baydaa, Salah L. Zubaidi, Hussein Mohammed Ridha, Nadhir Al-Ansari, and Nabeel Saleem Saad Al-Bdairi. "Applicability of ANN Model and CPSOCGSA Algorithm for Multi-Time Step Ahead River Streamflow Forecasting." Hydrology 9, no. 10 (2022): 171. http://dx.doi.org/10.3390/hydrology9100171.

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Accurate streamflow prediction is significant when developing water resource management and planning, forecasting floods, and mitigating flood damage. This research developed a novel methodology that involves data pre-processing and an artificial neural network (ANN) optimised with the coefficient-based particle swarm optimisation and chaotic gravitational search algorithm (CPSOCGSA-ANN) to forecast the monthly water streamflow. The monthly streamflow data of the Tigris River at Amarah City, Iraq, from 2010 to 2020, were used to build and evaluate the suggested methodology. The performance of

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Teng, Tse-Yu, Tzu-Ming Liu, Yu-Shiang Tung, and Ke-Sheng Cheng. "Converting Climate Change Gridded Daily Rainfall to Station Daily Rainfall—A Case Study at Zengwen Reservoir." Water 13, no. 11 (2021): 1516. http://dx.doi.org/10.3390/w13111516.

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With improvements in data quality and technology, the statistical downscaling data of General Circulation Models (GCMs) for climate change impact assessment have been refined from monthly data to daily data, which has greatly promoted the data application level. However, there are differences between GCM downscaling daily data and rainfall station data. If GCM data are directly used for hydrology and water resources assessment, the differences in total amount and rainfall intensity will be revealed and may affect the estimates of the total amount of water resources and water supply capacity. T

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Zlinszky, A., and G. Timár. "Historic maps as a data source for socio-hydrology: a case study of the Lake Balaton wetland system, Hungary." Hydrology and Earth System Sciences Discussions 10, no. 6 (2013): 7733–81. http://dx.doi.org/10.5194/hessd-10-7733-2013.

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Abstract. Socio-hydrology is the science of human influence on the water cycle and the influence of the water cycle on human social systems. This newly emerging discipline inherently involves a historic perspective, often focusing on time scales of several centuries. While data on human history is typically available for this time frame, gathering information on the hydrological situation during such a period can prove difficult: measured hydrological data for such long periods are rare, while models and secondary datasets from geomorphology, pedology or archaeology are typically not accurate

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Müller, Vitali, Markus Hauk, Malte Misfeldt, et al. "Comparing GRACE-FO KBR and LRI Ranging Data with Focus on Carrier Frequency Variations." Remote Sensing 14, no. 17 (2022): 4335. http://dx.doi.org/10.3390/rs14174335.

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The GRACE Follow-On satellite mission measures distance variations between its two satellites in order to derive monthly gravity field maps, indicating mass variability on Earth on a scale of a few 100 km originating from hydrology, seismology, climatology and other sources. This mission hosts two ranging instruments, a conventional microwave system based on K(a)-band ranging (KBR) and a novel laser ranging instrument (LRI), both relying on interferometric phase readout. In this paper, we show how the phase measurements can be converted into range data using a time-dependent carrier frequency

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Loc, Duong Hoang. "Understanding the hydrologyand weather knowledge of the fishermen in the Southwest coastal area: A case study of An Thuy commune (Ba Tri district, Ben Tre province) and Song Doc town (Tran Van Thoi district, Ca Mau province)." Science & Technology Development Journal - Social Sciences & Humanities 4, no. 4 (2020): 622–29. http://dx.doi.org/10.32508/stdjssh.v4i4.580.

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This paper aims to provide an indigenous knowledge system on the weather and hydrology system of the fishermen in the Southwest coastal area which is based on the research data in two specific communities: An Thuy commune (Ba Tri district, Ben Tre province) and Song Doc town (Tran Van Thoi district, Ca Mau province). The research results show that this knowledge is rich, diverse, and has been accumulated by the community for generations, especially to enable them to forecast the weather to preserve assets and lives during fish processing activities. The knowledge of the community related to we

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Dolejš, Martin, and Michal Forejt. "Franziscean Cadastre in Landscape Structure Research: A Systematic Review." Quaestiones Geographicae 38, no. 1 (2019): 131–44. http://dx.doi.org/10.2478/quageo-2019-0013.

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Abstract Historical and archival sources are of cardinal importance in landscape research addressing the processes and course of landscape changes in European regions. The Franziscean cadastre from the 19th century is among the most widely used historical sources in Central Europe. We identified 1440 records, finally providing 104 articles reporting the use of the Franziscean cadastre for in-depth analyses in order to identify (i) the practice of the cadastral data processing, (ii) purpose and spatial extent of the study, (iii) use of complementary sources and (iv) particular land use/land cov

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Guillemoteau, Julien, Niels Bøie Christensen, Bo Holm Jacobsen, and Jens Tronicke. "Fast 3D multichannel deconvolution of electromagnetic induction loop-loop apparent conductivity data sets acquired at low induction numbers." GEOPHYSICS 82, no. 6 (2017): E357—E369. http://dx.doi.org/10.1190/geo2016-0518.1.

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Electromagnetic induction (EMI) sensors using sufficiently low-frequency harmonic sources and sufficiently small loop separations operate in the low-induction-number (LIN) domain for a relatively wide range of background conductivity. These systems are used in diverse near-surface investigations including applications from soil sciences, hydrology, and archaeology. The special case of portable multiconfiguration EMI sensors operating at frequencies [Formula: see text] offers the possibility of using a fast linear deconvolution method to interpret multichannel data sets in three dimensions. Her

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Mihailov, Grigor, Kristio Daskalov, and Nikolay Lissev. "The impact of runoff and sediment transport from the Provadiyska and Devnenska rivers on the Beloslav lake." Water Science and Technology 32, no. 7 (1995): 1–8. http://dx.doi.org/10.2166/wst.1995.0188.

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The most essential results of processing and analyses of regular and field study data for the hydrophysical and hydrochemical characteristics of the Provadiyska river, the “Padina” canal flowing into it, the Devnenska river, the settling basin and the western part of the Beloslav lake, carried out by a group of scientists from UACEG at the end of 1994 are presented. Based on the available data from the National Institute of Meteorology and Hydrology, the general hydrological characteristics of the Provadiyska and Devnenska rivers are determined. The ratio between natural sediments and industri

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Aires, Filipe, Fabrice Papa, and Catherine Prigent. "A Long-Term, High-Resolution Wetland Dataset over the Amazon Basin, Downscaled from a Multiwavelength Retrieval Using SAR Data." Journal of Hydrometeorology 14, no. 2 (2013): 594–607. http://dx.doi.org/10.1175/jhm-d-12-093.1.

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Abstract A climatology of wetlands has been derived at a low spatial resolution (0.25° × 0.25° equal-area grid) over a 15-yr period by combining visible and near-infrared satellite observations and passive and active microwaves. The objective of this study is to develop a downscaling technique able to retrieve wetland estimations at a higher spatial resolution (about 500 m). The proposed method uses an image-processing technique applied to synthetic aperture radar (SAR) information about the low and high wetland season. This method is tested over the densely vegetated basin of the Amazon. The

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Polukoshko, Svetlana, and Janis Hofmanis. "USE OF “CATERPILLAR” – SSA METHOD FOR ANALYSIS AND FORECASTING OF INDUSTRIAL AND ECONOMIC INDICATORS." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 2 (August 3, 2015): 241. http://dx.doi.org/10.17770/etr2009vol2.1030.

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This paper deals with the Caterpillar»-SSA method, a novel and powerful model-free method of time series analysis and forecasting. Alongside with signal processing this method is successfully used to study the time series in many various areas: in meteorology, hydrology, sociology, economics, traffic analysis, wherever the trend or periodic behavior can present. Examples of application of the Caterpillar”-SSA technique for analysis of one-dimensional time series in Latvian economics are presented in this work. We solve the task of analysis and forecasting of following time series: agricultural

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Kazakov, Eduard, Sergey Zhuravlev, Lyubov Kurochkina, and Georgy Ayzel. "Web GIS for analysis of the past and future of the climate and hydrological conditions in the North-West of Russia." E3S Web of Conferences 163 (2020): 05005. http://dx.doi.org/10.1051/e3sconf/202016305005.

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This paper discusses the development of a specialized web GIS (geoportal) dedicated to the analysis of changes in climate conditions and hydrological regime in the North-West of Russia. One of the main goals of geoportal is to provide a tool to answer simple questions about climate for wide range of users. For example, how has the climate and hydrology changed in a particular city over the past 70 years? What will it be like in 50 years? The main functionality, data and creation technologies are presented. Geoportal offers the tools that allow interactive processing of daily data time series o

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Beyene, F., S. Knospe, and W. Busch. "Enhancing DInSAR capabilities for landslide monitoring by applying GIS-based multicriteria filtering analysis." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 29, 2015): 757–64. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-757-2015.

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Landslide detection and monitoring remain difficult with conventional differential radar interferometry (DInSAR) because most pixels of radar interferograms around landslides are affected by different error sources. These are mainly related to the nature of high radar viewing angles and related spatial distortions (such as overlays and shadows), temporal decorrelations owing to vegetation cover, and speed and direction of target sliding masses. On the other hand, GIS can be used to integrate spatial datasets obtained from many sources (including radar and non-radar sources). In this paper, a G

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Raspaud, Martin, David Hoese, Adam Dybbroe, et al. "PyTroll: An Open-Source, Community-Driven Python Framework to Process Earth Observation Satellite Data." Bulletin of the American Meteorological Society 99, no. 7 (2018): 1329–36. http://dx.doi.org/10.1175/bams-d-17-0277.1.

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AbstractPyTroll (http://pytroll.org) is a suite of open-source easy-to-use Python packages to facilitate processing and efficient sharing of Earth Observation (EO) satellite data. The PyTroll software is intended for both 24/7 real-time operations as well as research and development. PyTroll grew out of the need to provide a resilient and agile platform that can respond quickly to new user needs and new data sources. PyTroll, being open source, stimulates international collaboration, which is vital with the rapid increase of satellite information availability. The PyTroll software development

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Abbas, Salam A., and Yunqing Xuan. "Impact of Precipitation Pre-Processing Methods on Hydrological Model Performance using High-Resolution Gridded Dataset." Water 12, no. 3 (2020): 840. http://dx.doi.org/10.3390/w12030840.

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Effective representation of precipitation inputs is one of the essential components in hydrological model structures, especially when gauge measurements for the modelled catchment are sparse. Assessment of the impact of precipitation pre-processing is often nontrivial as precipitation data are very limited in the first place. In this paper, we demonstrate a study using a semi-distributed hydrological model, the Soil and Water Assessment Tool (SWAT) to examine the impact of different precipitation pre-processing methods on model calibration and the overall model performance with regards to the

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Liang, Xin-Zhong, Hyun I. Choi, Kenneth E. Kunkel, et al. "Surface Boundary Conditions for Mesoscale Regional Climate Models." Earth Interactions 9, no. 18 (2005): 1–28. http://dx.doi.org/10.1175/ei151.1.

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Abstract This paper utilizes the best available quality data from multiple sources to develop consistent surface boundary conditions (SBCs) for mesoscale regional climate model (RCM) applications. The primary SBCs include 1) fields of soil characteristic (bedrock depth, and sand and clay fraction profiles), which for the first time have been consistently introduced to define 3D soil properties; 2) fields of vegetation characteristic fields (land-cover category, and static fractional vegetation cover and varying leaf-plus-stem-area indices) to represent spatial and temporal variations of vegeta

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Weymer, Bradley A., Mark E. Everett, Chris Houser, Phil Wernette, and Patrick Barrineau. "Differentiating tidal and groundwater dynamics from barrier island framework geology: Testing the utility of portable multifrequency electromagnetic induction profilers." GEOPHYSICS 81, no. 5 (2016): E347—E361. http://dx.doi.org/10.1190/geo2015-0286.1.

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Electromagnetic induction (EMI) techniques are becoming increasingly popular for near-surface coastal geophysical applications. However, few studies have explored the capabilities and limitations of portable multifrequency EMI profilers for mapping large-scale ([Formula: see text]) barrier island hydrogeology. The purpose of this study is to investigate the influence of groundwater dynamics on apparent conductivity [Formula: see text] to separate the effects of hydrology and geology from the [Formula: see text] signal. Shore-normal and alongshore surveys were performed within a highly conducti

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Sun, Ting, and Sue Grimmond. "A Python-enhanced urban land surface model SuPy (SUEWS in Python, v2019.2): development, deployment and demonstration." Geoscientific Model Development 12, no. 7 (2019): 2781–95. http://dx.doi.org/10.5194/gmd-12-2781-2019.

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Abstract. Accurate and agile modelling of cities weather, climate, hydrology and air quality is essential for integrated urban services. The Surface Urban Energy and Water balance Scheme (SUEWS) is a state-of-the-art widely used urban land surface model (ULSM) which simulates urban–atmospheric interactions by quantifying the energy, water and mass fluxes. Using SUEWS as the computation kernel, SuPy (SUEWS in Python) uses a Python-based data stack to streamline the pre-processing, computation and post-processing that are involved in the common modelling-centred urban climate studies. This paper

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Denoth, A. "An electronic device for long-term snow wetness recording." Annals of Glaciology 19 (1994): 104–6. http://dx.doi.org/10.3189/s0260305500011058.

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Water content, water distribution and variations with time of these quantities in the natural snow cover are important parameters for microwave remote-sensing studies, snow stability investigations and snow hydrology studies. The most promising method for snow wetness determination is the measurement of the dielectric constant at radio frequencies. Recent developments of electronic devices for long-term recording of snow wetness are reported. The measurement system consists of two parts: the tuning and display unit with the battery pack and the flat capacitive sensor. The system is controlled

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Denoth, A. "An electronic device for long-term snow wetness recording." Annals of Glaciology 19 (1994): 104–6. http://dx.doi.org/10.1017/s0260305500011058.

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Water content, water distribution and variations with time of these quantities in the natural snow cover are important parameters for microwave remote-sensing studies, snow stability investigations and snow hydrology studies. The most promising method for snow wetness determination is the measurement of the dielectric constant at radio frequencies. Recent developments of electronic devices for long-term recording of snow wetness are reported. The measurement system consists of two parts: the tuning and display unit with the battery pack and the flat capacitive sensor. The system is controlled

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