Mobile grid data access for high resolution weather information services

2012 ◽  
Author(s):  
Teddy Mantoro ◽  
Wido Hanggoro ◽  
Media A. Ayu
Keyword(s):  
High Resolution ◽  
Data Access ◽  
Information Services ◽  
Grid Data ◽  
Mobile Grid ◽  
Weather Information

scholarly journals Tracing Hybridity in the Provision of ICT-Enabled Agricultural Weather Information Services in Ghana

2021 ◽  
pp. 1-31
Author(s):  
Rebecca Sarku ◽  
Erik van Slobbe ◽  
Katrien Termeer ◽  
Rebecca Chudaska ◽  
Agatha Siwale ◽  
...  
Keyword(s):  
Information Services ◽  
Weather Information

scholarly journals Defining high-resolution dredge fishing grounds with Automatic Identification System (AIS) data

2017 ◽  
Vol 30 ◽  
pp. 39 ◽  
Author(s):  
Damien Le Guyader ◽  
Cyril Ray ◽  
Françoise Gourmelon ◽  
David Brosset
Keyword(s):  
High Resolution ◽  
Data Access ◽  
Relevant Information ◽  
Fishing Effort ◽  
Automatic Identification ◽  
Identification System ◽  
Automatic Identification System ◽  
Local Decision ◽  
Bay Of Brest ◽  
Maritime Spatial Planning

High resolution estimates of bottom towed fishing gears are needed to provide relevant information for natural resource management, impact assessment and maritime spatial planning. The use of satellite-based vessel monitoring system (VMS) data is constrained by data access restrictions as well as rather coarse data resolution. This study focuses on mapping dredge gear fishing grounds using fishing effort estimates at the métier level based on automatic identification system (AIS) data. The performance of the approach was evaluated in terms of correct discrimination between fishing and non-fishing activities for known fishing positions as well as appropriate error propagation. The test was conducted in the Bay of Brest (France) in partnership with a committee of local fishers. The results identified dredge fishing grounds for great scallop (Pecten maximus) in the western part of the Bay of Brest and provided high-resolution information for scientists and local decision makers on the spatial and temporal seasonal variability of fishing effort. The proposed method is semi-automatic and generic making it suitable for other applications.

Horizontal distribution of temperature in a building-block using a Mobile Cart for Meteorological Observation (MCMO)

2020 ◽  
Author(s):  
Minsoo Kang ◽  
Moon-Soo Park ◽  
Jung-Hoon Chae ◽  
Jae-Sik Min
Keyword(s):  
High Resolution ◽  
Surface Temperature ◽  
Building Block ◽  
Urban Areas ◽  
Heavy Traffic ◽  
Video Camera ◽  
Horizontal Distribution ◽  
Meteorological Observation ◽  
Weather Information ◽  
Experimental Campaign

<p>Horizontal distribution of building block scale meteorological information is important to understand the disastrous weather phenomena occurred at urban areas. Most meteorological models assume the same surface temperature, or an ideal surface temperature to simulate the high-resolution wind field in or above urban boundary-layer. This study aims to establish the basic foundation for producing the high-resolution and high-quality user-specific horizontal meteorological information at an urban building block in the Seoul Metropolitan Area. Therefore, the Mobile Cart for Meteorological Observation (MCMO) was developed and used in a meteorological experimental campaign during heat wave event days.<br>The MCMO includes 3 air temperature sensors, 1 weather transmitter, 1 infrared surface temperature sensor, 1 GPS (global positioning system), and video camera on the mobile cart. The MCMO measures the temperature at 4 altitudes (surface, 0.5m, 1.5m, and 2.5m), latitude, longitude, and surrounding environment condition of measurement site. The observation cycle is 1 second to produce pedestrian-friendly weather information. The meteorological experimental campaign was conducted in Gwanghwamun square in the Seoul, Korea. Gwanghwamun square is complex area which has high-rise building block, wide roads of heavy traffic, and green lung. Observation period was from 1200 LST 5 August 2019 to 2200 LST 6 August 2019 including the hottest day of the year. Through the meteorological experimental campaign, the MCMO shows the detail temperature change over time, location, and altitudes. The temperature was changed as the altitude of the sun changed. When the MCMO was move through the green lung or building block, also the temperature was changed. Temperature changes were the largest at surface temperature and tended to decrease as altitude increased. The MCMO can be used to understand high-resolution weather information and horizontal distribution of temperature in urban area. Additionally, another meteorological experimental campaign will be held in the summer of 2020.</p>

scholarly journals Grid data access on widely distributed worker nodes using scalla and SRM

2008 ◽  
Vol 119 (7) ◽  
pp. 072019 ◽  
Author(s):  
P Jakl ◽  
J Lauret ◽  
A Hanushevsky ◽  
A Shoshani ◽  
A Sim ◽  
...  
Keyword(s):  
Data Access ◽  
Grid Data

scholarly journals Preparation of High-Resolution DTM and Orthophoto Using LiDAR in Nepal

2020 ◽  
Vol 20 (1) ◽  
pp. 75-80
Author(s):  
Abhash Joshi ◽  
Sumeer Koirala
Keyword(s):  
Economic Development ◽  
High Resolution ◽  
Digital Terrain Model ◽  
Cost Effective ◽  
Interval Data ◽  
Development Planning ◽  
Airborne Lidar ◽  
Grid Data ◽  
Terrain Model ◽  
Surveying And Mapping

The high-resolution terrain model has varied usages including development planning, engineering works, environmental management, disaster management, urban planning, irrigation, geological study, archeological study and cadastral application. Currently, this data is not available for Nepal and it has also hindered the socio and economic development of the country. Airborne Lidar is economically cost-effective and viable means for topography related data collection. Lidar which is an acronym for Light Detection and Ranging is an active remote sensing technology in which Laser beams are used for surveying and mapping. The Survey Department of Nepal has taken initiative to prepare the High-Resolution DTM and Orthophoto of about 20,000 square kilometres of Nepal using Lidar surveying and mapping. Survey Department is conducting a LiDAR survey in the western terai regions of Nepal from Chitwan to Kanchanpur district. Airborne LiDAR survey data along with a very high resolution (0.15 m) orthophoto shall be generated. Further, processing of LiDAR points data will generate a highly precise digital terrain model of 1 m grid data having an accuracy of 0.25 m and finally 0.5 m contour interval data. This endeavor is one of the milestones in the surveying and mapping sector of Nepal and it will have far-reaching consequence in the social and economic development of Nepal.

scholarly journals Spatially consistent postprocessing of precipitation over complex topography 

2021 ◽  
Author(s):  
Stephan Hemri ◽  
Jonas Bhend ◽  
Christoph Spirig ◽  
Reinhard Furrer ◽  
Lionel Moret ◽  
...  
Keyword(s):  
High Resolution ◽  
Spatial Resolution ◽  
Spatial Information ◽  
Weather Prediction ◽  
Dependence Structure ◽  
Complex Topography ◽  
Grid Data ◽  
Hourly Precipitation ◽  
Spatial Consistency ◽  
Ensemble Statistics

<p>Over the last decade statistical postprocessing has become a standard tool to reduce biases and dispersion errors of probabilistic numerical weather prediction (NWP) ensemble forecasts. Most established postprocessing approaches train a statistical model using raw ensemble statistics on a typically small set of stations.  While raw ensemble statistics are available from high resolution NWP grid data, observations are missing at most grid points. Hence, the generation of spatial fields of forecast scenarios requires both some kind of interpolation and reshuffling of forecast quantiles based on a dependence template. The most widely used reshuffling approach, ensemble copula coupling (ECC), applies a reordering based on the raw ensemble rank order structure. ECC relies on the assumption that the spatial dependence structure of the raw ensemble is spatially consistent with the observed fields. This assumption may not always hold for hourly precipitation in particular over complex topography, since even high resolution models do not achieve a perfect representation of the real topography.</p><p>In this study, hourly CombiPrecip fields, which are a blend of precipitation observations from station and radar data, at a spatial resolution of 1 km over Switzerland serve as observations. Hourly precipitation raw ensemble forecast fields covering lead times up to 120 hours with a spatial resolution of 2 km are provided by COSMO-E. This enables us to postprocess hourly  COSMO-E ensemble precipitation forecasts over Switzerland at different spatial scales, from a single global ensemble model output statistics type model, over regional quantile regression  models up to grid point-wise local analog models. The mismatch in spatial resolution between COSMO-E and CombiPrecip as well as  the general issue of non-representative model topography over Switzerland’s complex topography may affect the spatial consistency of the (postprocessed) forecast fields. Starting with an analysis of systematic errors and spatial consistency of COSMO-E precipitation forecasts , we assess the potential for spatially multivariate postprocessing approaches, which are able to incorporate the spatial information from CombiPrecip and are yet simple and computationally efficient. To this end, we analyse the effects of using standard and new postprocessing model designs that vary in the (analog-based) selection of training data, spatial aggregation, postprocessing model parametrizations, and methods to obtain physically realistic forecast scenarios in space. </p>

High resolution weather information for plant protection

EPPO Bulletin ◽  
1991 ◽  
Vol 21 (3) ◽  
pp. 355-364 ◽  
Author(s):  
R. C. SEEM ◽  
H. A. MAGNUS ◽  
V. HJÖNNEVAAG
Keyword(s):  
High Resolution ◽  
Plant Protection ◽  
Weather Information
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