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Dual-Wavelength Radar Technique Development for Snow Rate Estimation: A Case Study from GCPEx

Gwo-Jong Huang, Viswanathan N. Bringi, Andrew J. Newman, GyuWon Lee, Dmitri Moisseev, Branislav M. Notaros
2018 Atmospheric Measurement Techniques Discussions  
</p> <p>We propose a method for snow rate estimation by using NASA D3R radar <i>DWR</i> and Ka-band reflectivity observations collected during a long-duration synoptic snow event on 30&amp;ndash;31 January  ...  Finally, we validate our method by comparing the D3R radar-retrieved <i>SR</i> with accumulated <i>SR</i> directly measured by a well-shielded Pluvio gauge for the entire synoptic event.</p>  ...  ., https://doi.org/10.5194/amt-2018-211 Manuscript under review for journal Atmos. Meas. Tech. Discussion started: 6 August 2018 c Author(s) 2018. CC BY 4.0 License.  ... 
doi:10.5194/amt-2018-211 fatcat:3slqj4hkyfccbnsgymuius3vda

Dual-wavelength radar technique development for snow rate estimation: a case study from GCPEx

Gwo-Jong Huang, Viswanathan N. Bringi, Andrew J. Newman, Gyuwon Lee, Dmitri Moisseev, Branislav M. Notaroš
2019 Atmospheric Measurement Techniques  
</p> <p>We propose a method for snow rate estimation by using NASA D3R radar DWR and Ka-band reflectivity observations collected during a long-duration synoptic snow event on 30–31 January 2012 during  ...  Finally, we validate our method by comparing the D3R radar-retrieved SR with accumulated SR directly measured by a well-shielded Pluvio gauge for the entire synoptic event.</p>  ...  The case study chosen is a large-scale synoptic snow event that occurred over the instrumented site of CARE during GCPEx.  ... 
doi:10.5194/amt-12-1409-2019 fatcat:crowrdbcqbffvowjr7q65trqea

Evaluation of Three Evaporation Estimation Techniques In A Semi-Arid Region (Omar El Mukhtar Reservoir Sluge, Libya- As a case Study)

Lubna s. Ben Taher
2017 Advances in Science, Technology and Engineering Systems  
In summary, it is revealed in this study that the ANN and RSM models are appropriate for predicting Evp using climatic inputs in semi-arid climate.  ...  The key variables used to develop and validate the models were: monthly (precipitation Rf., average temperature Temp., relative humidity Rh., sunshine hours Sh., atmospheric pressure Pa. and wind speed  ...  This will be the first study to compare the accuracy of multiple soft computing models (Evp.) estimation for open reservoir (Omar El Mukhtar) at semi-arid climates. 2-Materials And Methodology Study  ... 
doi:10.25046/aj020204 fatcat:lbjtc2y4bzfg7nbz7xzum55zxe

Methodology for Estimating the Effect of Traffic Flow Management on Fuel Consumption and CO2 Production: A Case Study of Celje, Slovenia

Borut Jereb, Ondrej Stopka, Tomáš Skrúcaný
2021 Energies  
This study represents a mosaic fragment of research addressing endeavors to reduce CO2 production in urban transport.  ...  The particular research study was undertaken in a frequented junction in the city of Celje, located in the eastern part of Slovenia.  ...  Even methodologies for estimating the effects of traffic flow management for microscopic objects such as road segments or intersections proposed in a wide array of research studies have been written [  ... 
doi:10.3390/en14061673 fatcat:vywxsbtj5vggpd5q5pw7kqkhou

InSAR Study of Landslides: Early Detection, Three-Dimensional, and Long-Term Surface Displacement Estimation—A Case of Xiaojiang River Basin, China

Hongying Jia, Yingjie Wang, Daqing Ge, Yunkai Deng, Robert Wang
2022 Remote Sensing  
In this paper, a more systematic workflow is designed for InSAR study of landslides, in terms of three levels: (i) early detection on regional scale, (ii) three-dimensional (3D) surface displacement rates  ...  estimation on detailed scale, and (iii) time series analysis on long-term temporal scale.  ...  We also acknowledge the China Aero Geophysical Survey & Remote Sensing Center for Land and Resources (AGRS) for providing the available landslide inventory of the study area.  ... 
doi:10.3390/rs14071759 fatcat:or5dytrn75bdngpd6lruneb4ca

High Spatiotemporal Resolution PM2.5 Concentration Estimation with Machine Learning Algorithm: A Case Study for Wildfire in California

Qian Cui, Feng Zhang, Shaoyun Fu, Xiaoli Wei, Yue Ma, Kun Wu
2022 Remote Sensing  
In this study, the fused high spatial-temporal resolution AOD data in our previous study were used to estimate the ground PM2.5 concentration through machine learning algorithms, the deep belief network  ...  Meanwhile, for the impact of cloud, the AOD products often have a serious data gap problem, which also objectively limits the spatiotemporal coverage of predicted PM2.5 concentration.  ...  Acknowledgments: The authors would also like to express gratitude to the data providers worldwide who provided the data/information used in this study.  ... 
doi:10.3390/rs14071635 fatcat:h6smcms2crhgfbeyljmaa3utmu

Estimating Point and Nonpoint Source Pollutant Flux by Integrating Various Models, a Case Study of the Lake Hawassa Watershed in Ethiopia's Rift Valley Basin

Semaria Moga Lencha, Mihret Dananto Ulsido, Jens Tränckner
2022 Water  
In this study, a combination of various models with monitoring data has been applied to determine the fluxes for Chemical Oxygen Demand (COD), Biochemical Oxygen Demand (BOD5), Total Dissolved Solid (TDS  ...  The estimated pollutant flux at each monitoring stations showed that the pollutant contribution from the point and nonpoint sources prevailing in the study area, where the maximum fluxes were observed  ...  of land use k for the constituent i (kg ha −1 yr −1 ); A k,j is area of land use k for the sub-catchment j; P i,j is precipitation induced constituent i load at a sub-catchment j (kg yr −1 ).  ... 
doi:10.3390/w14101569 fatcat:kc3sdgwxozcxhdrxgshdpxs6si

Evaluation of soil and water conservation projects through estimation of erosion intensity by geomorphological modelling (case study of Safaroud watershed, Mazandaran Province, Iran)

A PALHAM ABBASI
2017 Applied Ecology and Environmental Research  
The map for the erosion trend of each working unit was prepared either as positive or negative, based on a comparative examination of the erosion map for each working unit against another working unit  ...  One method used to evaluate soil and water conservation projects involves mapping of erosion across a region.  ...  For this purpose, a geomorphological model (Ahmadi, 2006) was used to estimate the intensity of erosion.  ... 
doi:10.15666/aeer/1503_17391751 fatcat:2x33sujofrconef7ls2ipo7boa

Estimating machine impact on strip roads via close-range photogrammetry and soil parameters: a case study in central Italy

M Cambi, F Giannetti, F Bottalico, D Travaglini, T Nordfjell, G Chirici, E Marchi
2018 iForest : Biogeosciences and Forestry  
The objective of this study was to measure soil disturbances with two methods: (i) a new, image-based models derived by a structure-frommotion (SfM) photogrammetry approach; and (ii) a traditional soil  ...  Machine passes increased bulk density (111% and 31% for FT and ST, respectively), penetration resistance (29% and 24% for FT and ST, respectively) and shear resistance (14% and 6% for FT and ST, respectively  ...  Giovanni Galipò for his help with the field survey. A special thank to Ms. Ilaria Zorzi for her help with the fieldwork.  ... 
doi:10.3832/ifor2590-010 fatcat:nwaskt667vbovgy3qib263mdcy

Decomposition Rates and Taphonomic Changes Associated with the Estimation of Time Since Death in a Summer Climate: A Case Study from Urban Nova Scotia

Courtney Brown, Tanya Peckmann
2013 Canadian Society of Forensic Science Journal  
A small number of studies have examined human remains cases, to determine TSD estimations, however, these studies are based on the day the person went missing and therefore timeframes developed using this  ...  's (2000) methodology used single pigs in each study condition therefore study results may not be replicable.  ... 
doi:10.1080/00085030.2013.10799549 fatcat:ienhmz2dczfrrd7hqwkz5comg4

Prediction Of Dissolved Oxygen In Rivers Using A Wang-Mendel Method – Case Study Of Au Sable River

Mahmoud R. Shaghaghian
2010 Zenodo  
This model just uses previous records to estimate upcoming values.  ...  Amount of dissolve oxygen in a river has a great direct affect on aquatic macroinvertebrates and this would influence on the region ecosystem indirectly.  ...  computing methodologies for prediction is clearly justified.  ... 
doi:10.5281/zenodo.1058555 fatcat:uu43dccrofgddf4risyc6ijh7m

Spatiotemporal and cross-scale interactions in hydroclimate variability: a case-study in France

Manuel Fossa, Bastien Dieppois, Nicolas Massei, Matthieu Fournier, Benoit Laignel, Jean-Philippe Vidal
2021 Hydrology and Earth System Sciences  
In this study, we present a spatial classification of precipitation, temperature, and discharge variability in France, based on a fuzzy clustering and wavelet spectra of 152 near-natural watersheds between  ...  This study allows for a multi-timescale representation of hydroclimate variability in France and provides unique insight into the complex nonlinear dynamics of this variability and its predictability.  ...  The authors would also like to thank the Centre Régional Informatique et d'Applications Numériques de Normandie (CRIANN), for providing the HPC environment needed for all computations.  ... 
doi:10.5194/hess-25-5683-2021 fatcat:dr2ww5sbzbfn7f7i6e6ct2xzoq

Climate change scenarios of surface solar radiation in data sparse regions: a case study in Malaprabha River Basin, India

A Anandhi, VV Srinivas, D Nagesh Kumar, RS Nanjundiah, PH Gowda
2014 Climate Research (CR)  
Three methodologies to guide the estimation of SR are discussed in this study, namely: Case 1: SR is measured, Case 2: SR is measured but sparse and Case 3: SR is not measured.  ...  In Case 3: the SR was first estimated at a regional scale for a longer time period using complete or sparse measured records of SR from which SR at the local scale was estimated.  ...  However, absence of a long-term (> 25 yr) satellite database is a limitation of this method. (3) Finally, empirical relationships and soft computing techniques (e.g.  ... 
doi:10.3354/cr01180 fatcat:lyxspc7vnba4bo3lzokib4a43q

Directing Experimental Biology: A Case Study in Mitochondrial Biogenesis

Matthew A. Hibbs, Chad L. Myers, Curtis Huttenhower, David C. Hess, Kai Li, Amy A. Caudy, Olga G. Troyanskaya, Andrey Rzhetsky
2009 PLoS Computational Biology  
Here we analyze and explore the results of this study that are broadly applicable for computationalists applying gene function prediction techniques, including a new experimental comparison with 48 genes  ...  Our study leads to several conclusions that are important to consider when driving laboratory investigations using computational prediction approaches.  ...  We also thank the members of the Troyanskaya, Caudy, Botstein, Kruglyak, and Dunham laboratories for useful discussions and advice. Author Contributions  ... 
doi:10.1371/journal.pcbi.1000322 pmid:19300515 pmcid:PMC2654405 fatcat:qtroeg4sezb6vkn32xg3yiznl4

Comparing Statistical and Semi-Distributed Rainfall–Runoff Models for a Large Subtropical Watershed: A Case Study of Jiulong River Catchment, China

XianXian Han, GaoYang Li, WenFang Lu, YuWu Jiang
2019 Atmosphere  
Three methods are proposed for modeling streamflow using rainfall outputted by the Weather Research Forecast (WRF) model, calculated potential evaporation (PET), and land cover type: (i) a ridge regression  ...  Previous studies have mostly focused on modeling the streamflow and water quality of its small rural subcatchments.  ...  Development Program of China (#2018YFC1407502), grant (41876004) from the Natural Science Foundation of China (NSFC); We would also like to express our appreciation to the Fujian Marine Forecast Institute for  ... 
doi:10.3390/atmos10020062 fatcat:47lnaopjk5enlkpzn3o32j4cte
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