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Relevant bibliographies by topics / Weather forcasting

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Academic literature on the topic 'Weather forcasting'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 September 2023

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Journal articles on the topic "Weather forcasting"

1

Spitters, C. J. T., B. Kiewiet, and T. Schiphouwer. "A weather-based yield-forcasting model for sugar beet." Netherlands Journal of Agricultural Science 38, no. 4 (December 1, 1990): 731–35. http://dx.doi.org/10.18174/njas.v38i4.16562.

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A simple model to predict seasonal growth in sugarbeet yield is presented. Time from sowing to the 'growth point date' (the date on which a plant contained 4 g sugar) is characterized by a temp. sum. The increase in sugar yield after this date is calculated from incoming solar radiation using an av. radiation use efficiency. Temp. sums and radiation use efficiencies were estimated for the 11 Dutch sugarbeet regions. (Abstract retrieved from CAB Abstracts by CABI’s permission)

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Ciminelli, M. G., C. Coretti, G. Betello, A. Priolo, C. Terpessi, P. Bonelli, and G. Redaelli. "Weather forcasting procedures in an environmental programme for agricultural assistance." Meteorological Applications 1, no. 2 (January 10, 2007): 113–15. http://dx.doi.org/10.1002/met.5060010204.

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3

heidary, farhad, and mohammad Abdollahi Azgomi. "A Software Framework for Efficient Execution of Weather Research and Forcasting Models." Journal of Oceanography 11, no. 42 (June 1, 2020): 85–96. http://dx.doi.org/10.52547/joc.11.42.85.

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Kang, Seok-Chan, and Dong-Hoi Kin. "Proposal of New Hybrid Short-term Weather Data Forcasting Method combining Existing SARIMA and GRU." Journal of Digital Contents Society 23, no. 1 (January 31, 2022): 107–15. http://dx.doi.org/10.9728/dcs.2022.23.1.107.

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Ardianto, Randy. "Pemanfaatan Model WRF-ARW Untuk Analisis Fenomena Atmosfer Borneo Vortex (Studi Kasus Tanggal 28 Desember 2014)." POSITRON 7, no. 1 (May 13, 2017): 01. http://dx.doi.org/10.26418/positron.v7i1.19349.

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Penelitian ini memanfaatkan model WRF-ARW (Weather Research and Forcasting – Advanced Research WRF) untuk memberikan gambaran mengenai kondisi atmosfer saat kejadian Borneo Vortex. Hasil visualisasi model WRF-ARW pada tanggal 28 Desember 2014 menunjukkan adanya vortex, dimana hal ini menimbulkan belokan angin dan arus konvergen di Laut Cina Selatan, Selat Karimata, dan Kalimantan bagian selatan. Selain itu kondisi atmosfer yang labil dan kelembaban udara yang tinggi saat itu, memicu terbentuknya awan-awan konvektif pada ketiga wilayah tersebut. Uji kehandalan sederhana pada model menunjukkan bahwa secara spasial model mampu memetakan wilayah-wilayah yang terdapat hujan dengan baik namun dari segi intensitas hujan, angka yang dihasilkan oleh model tergolong underestimate jika dibandingkan dengan data TRMM 3B42.

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6

Kurosawa, Kimio, Takahiro Aoyama, and Katsuyuki Takitani. "Development of Thunderstorm Forcasting System by Using Lightning Location Data and Weather Data through communication line." IEEJ Transactions on Power and Energy 116, no. 4 (1996): 424–30. http://dx.doi.org/10.1541/ieejpes1990.116.4_424.

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Dorman, L. I. "Space weather and dangerous phenomena on the Earth: principles of great geomagnetic storms forcasting by online cosmic ray data." Annales Geophysicae 23, no. 9 (November 22, 2005): 2997–3002. http://dx.doi.org/10.5194/angeo-23-2997-2005.

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Abstract. According to NOAA space weather scales, geomagnetic storms of scales G5 (3-h index of geomagnetic activity Kp=9), G4 (Kp=8) and G3 (Kp=7) are dangerous for satellites, aircrafts, and even for technology on the ground (influence on power systems, on spacecraft operations, on HF radio-communications and others). We show on the basis of statistical data, that these geomagnetic storms, mostly accompanied by cosmic ray (CR) Forbush-decreases, are also dangerous for people's health on spacecraft and on the ground (increasing the rate of myocardial infarctions, brain strokes and car accident road traumas). To prevent these serious damages it is very important to forecast dangerous geomagnetic storms. Here we consider the principles of using CR measurements for this aim: to forecast at least 10-15h before the sudden commencement of great geomagnetic storms accompanied by Forbush-decreases, by using neutron monitor muon telescope worldwide network online hourly data. We show that for this forecast one may use the following features of CR intensity variations connected with geomagnetic storms accompanied by Forbush-decreases: 1) CR pre-increase, 2) CR pre-decrease, 3) CR fluctuations, 4) change in the 3-D CR anisotropy.

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Jiang, ChuanLi, Sarah T. Gille, Janet Sprintall, Kei Yoshimura, and Masao Kanamitsu. "Spatial Variation in Turbulent Heat Fluxes in Drake Passage." Journal of Climate 25, no. 5 (March 2012): 1470–88. http://dx.doi.org/10.1175/2011jcli4071.1.

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High-resolution underway shipboard atmospheric and oceanic observations collected in Drake Passage from 2000 to 2009 are used to examine the spatial scales of turbulent heat fluxes and flux-related state variables. The magnitude of the seasonal cycle of sea surface temperature (SST) south of the Polar Front is found to be twice that north of the front, but the seasonal cycles of the turbulent heat fluxes show no differences on either side of the Polar Front. Frequency spectra of the turbulent heat fluxes and related variables are red, with no identifiable spectral peaks. SST and air temperature are coherent over a range of frequencies corresponding to periods between ~10 h and 2 days, with SST leading air temperature. The spatial decorrelation length scales of the sensible and latent heat fluxes calculated from two-day transects are 65 ± 6 km and 80 ± 6 km, respectively. The scale of the sensible heat flux is consistent with the decorrelation scale for air–sea temperature differences (70 ± 6 km) rather than either SST (153 ± 2 km) or air temperature (138 ± 4 km) alone. These scales are dominated by the Polar Front. When the Polar Front region is excluded, the decorrelation scales are 10–20 km, consistent with the first baroclinic Rossby radius. These eddy scales are often unrepresented in the available gridded heat flux products. The Drake Passage ship measurements are compared with four recently available gridded turbulent heat flux products: the European Centre for Medium-Range Weather Forecasts high-resolution operational product in support of the Year of Coordinated Observing Modeling and Forcasting Tropical Convection (ECMWF-YOTC), ECMWF interim reanalysis (ERA-Interim), the Drake Passage reanalysis downscaling (DPRD10) regional product, and the objectively analyzed air–sea fluxes (OAFlux). The decorrelation length scales of the air–sea temperature difference, wind speed, and turbulent heat fluxes from these four products are significantly larger than those determined from shipboard measurements.

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Dissertations / Theses on the topic "Weather forcasting"

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Rowell, D. P. "Short range rainfall forcasting in the West African Sahel." Thesis, University of Reading, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381920.

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2

Brown, Parker Brandt. "Finding new representations in science and natural history film through a deconstruction of televised weather forcasting." Thesis, Montana State University, 2008. http://etd.lib.montana.edu/etd/2008/brown/BrownP1208.pdf.

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Broadcast television networks limit their representation of the weather by embedding weather forecasting with ideologies of science, capitalism, and patriarchy, thereby creating a dispassionate monolithic regime as the totalizing representation of weather in popular media. This is not to say that TV weather forecasting is not useful, but that it is a narrowly focused scientific representation of nature, and as such denies experiences of the weather beyond utilitarian prediction. Non-fiction film employs a set of representational tools that, when applied to the weather, can deconstruct the mainstream representation of the weather and create alternative representations that reconnect viewers with their personal experiences of the weather. Non-fiction film allows filmmakers the freedom to directly author messages and choose systems of signs that deconstruct the mainstream broadcast of the weather. It can restore an assumption of afilmic representation and allow viewers the ability to interpret the weather in their own contexts. These ideas led to the production of my own film, Weatherscape, which simultaneously re-contextualizes the weather to encourage the viewer to create his or her own weather experience and critiques the TV weather representation. Deconstruction through non-fiction film proves to be a robust tool for creating representations that rethink our portrayal of nature.

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Westerling, Anthony. "Climate change and variability and the role of information in catastrophe insurance markets /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC IP addresses, 2000. http://wwwlib.umi.com/cr/ucsd/fullcit?p9956447.

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4

Shrivastava, Roopashree. "Data assimilation in a weather forcast modal and its application in atmospheric dispersion studies." Thesis, 2016. http://localhost:8080/xmlui/handle/12345678/7191.

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Books on the topic "Weather forcasting"

1

National Research Council (U.S.). Board on Atmospheric Sciences and Climate., ed. Critical issues in weather modification research. Washington: National Academies Press, 2003.

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2

National Research Council (U.S.). Committee on Weather Radar Technology Beyond NEXRAD. Weather radar technology beyond NEXRAD. Washington, D.C: National Academy Press, 2002.

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National Research Council (U.S.). Committee on Weather Radar Technology Beyond NEXRAD. Weather radar technology beyond NEXRAD. Washington, D.C: National Academy Press, 2002.

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4

Saigai yochi kotowaza jiten. Tōkyō: Tōkyōdō Shuppan, 1985.

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5

Saigai yochi kotowaza jiten. Tōkyō: Tōkyōdō Shuppan, 1985.

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6

Forecast Systems Laboratory (U.S.), ed. DARE hydrologic evaluations (1990-1992): Forecasters' assessment of functions. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Forecast Systems Laboratory, 1994.

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7

Forecast Systems Laboratory (U.S.), ed. DARE hydrologic evaluations (1990-1992): Forecasters' assessment of functions. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Forecast Systems Laboratory, 1994.

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8

Forecast Systems Laboratory (U.S.), ed. DARE hydrologic evaluations (1990-1992): Assessment of training. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Forecast Systems Laboratory, 1994.

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Forecast Systems Laboratory (U.S.), ed. DARE hydrologic evaluations (1990-1992): Assessment of training. Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Forecast Systems Laboratory, 1994.

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10

Weather Forcasting: Unmet Needs and Unknown Costs Warrant Reassessment of Observing System Plans. Diane Pub Co, 1995.

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Book chapters on the topic "Weather forcasting"

1

Viademonte, Sérgio, and Frada Burstein. "An Intelligent Decision Support Model for Aviation Weather Forcasting." In Advances in Intelligent Data Analysis, 278–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44816-0_28.

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Conference papers on the topic "Weather forcasting"

1

Dhoot, Rishabh, Saumay Agrawal, and M. Shushil Kumar. "Implementation And Analysis Of Arima Model And Kalman Filter For Weather Forcasting in Spark Computing Environment." In 2019 3rd International Conference on Computing and Communications Technologies (ICCCT). IEEE, 2019. http://dx.doi.org/10.1109/iccct2.2019.8824870.

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