Works matching DE "WEATHER forecasting"
Results: 5000
Countering the Loading-Dock Approach to Linking Science and Decision Making: Comparative Analysis of El Niño/Southern Oscillation (ENSO) Forecasting Systems.
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- Science, Technology & Human Values, 2006, v. 31, n. 4, p. 465, doi. 10.1177/0162243906287547
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"Prediction" or "Projection"?: The Nomenclatureof Climate Science.
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- Science Communication, 2009, v. 30, n. 4, p. 534, doi. 10.1177/1075547009333698
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Fresh Forecasts.
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- Power Engineer, 2005, v. 19, n. 2, p. 36
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WHEW, WHAT A SCORCHER.
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- Power Engineer, 2003, v. 17, n. 4, p. 2
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Extreme Exposure: The Sydney to Hobart Yacht Race and the Role of Prediction.
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- Public Health Reports, 1999, v. 114, n. 3, p. 278, doi. 10.1093/phr/114.3.278
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Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning.
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- Machine Learning, 2014, v. 95, n. 1, p. 27, doi. 10.1007/s10994-013-5343-x
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Decadal variations of the transport and bifurcation of the Pacific North Equatorial Current.
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- Journal of Oceanography, 2018, v. 74, n. 1, p. 65, doi. 10.1007/s10872-017-0441-1
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Verification of tropical cyclone heat potential for tropical cyclone intensity forecasting in the Western North Pacific.
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- Journal of Oceanography, 2015, v. 71, n. 4, p. 373, doi. 10.1007/s10872-015-0298-0
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Gradient boosting for extreme quantile regression.
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- Extremes, 2023, v. 26, n. 4, p. 639, doi. 10.1007/s10687-023-00473-x
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Draconids 2011: Outburst Observations by the Croatian Meteor Network.
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- Earth, Moon & Planets, 2014, v. 112, n. 1-4, p. 33, doi. 10.1007/s11038-014-9438-6
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Some Implications of Ocean Research.
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- Ocean Development & International Law, 1977, v. 4, n. 1, p. 39, doi. 10.1080/00908327709545580
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Weather Maps and Newspaper Design: Response to USA Today?
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- Newspaper Research Journal, 1987, v. 8, n. 4, p. 31, doi. 10.1177/073953298700800403
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Logistic regression models for predicting daily airborne Alternaria and Cladosporium concentration levels in Catalonia (NE Spain).
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- International Journal of Biometeorology, 2019, v. 63, n. 12, p. 1541, doi. 10.1007/s00484-019-01767-1
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Migrating birds avoid flying through fog and low clouds.
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- International Journal of Biometeorology, 2019, v. 63, n. 2, p. 231, doi. 10.1007/s00484-018-01656-z
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Evaluation of multiple linear, neural network and penalised regression models for prediction of rice yield based on weather parameters for west coast of India.
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- International Journal of Biometeorology, 2018, v. 62, n. 10, p. 1809, doi. 10.1007/s00484-018-1583-6
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Phenological cues intrinsic in indigenous knowledge systems for forecasting seasonal climate in the Delta State of Nigeria.
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- International Journal of Biometeorology, 2018, v. 62, n. 6, p. 1115, doi. 10.1007/s00484-017-1495-x
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Projections for the changes in growing season length of tree-ring formation on the Tibetan Plateau based on CMIP5 model simulations.
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- International Journal of Biometeorology, 2018, v. 62, n. 4, p. 631, doi. 10.1007/s00484-017-1472-4
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CropWatch agroclimatic indicators (CWAIs) for weather impact assessment on global agriculture.
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- International Journal of Biometeorology, 2017, v. 61, n. 2, p. 199, doi. 10.1007/s00484-016-1199-7
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Weather conditions and their effect on the increase of the risk of type A acute aortic dissection onset in Berlin.
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- International Journal of Biometeorology, 2016, v. 60, n. 8, p. 1303, doi. 10.1007/s00484-015-1099-2
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Dynamically downscaling predictions for deciduous tree leaf emergence in California under current and future climate.
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- International Journal of Biometeorology, 2016, v. 60, n. 7, p. 935, doi. 10.1007/s00484-015-1086-7
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Nowcasting daily minimum air and grass temperature.
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- International Journal of Biometeorology, 2016, v. 60, n. 2, p. 183, doi. 10.1007/s00484-015-1017-7
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Evaluation of thermal bioclimate based on observational data and numerical simulations: an application to Greece.
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- International Journal of Biometeorology, 2015, v. 59, n. 2, p. 151, doi. 10.1007/s00484-014-0832-6
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Development and validation of a 5-day-ahead hay fever forecast for patients with grass-pollen-induced allergic rhinitis.
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- International Journal of Biometeorology, 2014, v. 58, n. 6, p. 1047, doi. 10.1007/s00484-013-0692-5
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Weather factors in the short-term forecasting of daily ambulance calls.
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- International Journal of Biometeorology, 2014, v. 58, n. 5, p. 669, doi. 10.1007/s00484-013-0647-x
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The uncertainty of UTCI due to uncertainties in the determination of radiation fluxes derived from numerical weather prediction and regional climate model simulations.
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- International Journal of Biometeorology, 2013, v. 57, n. 2, p. 207, doi. 10.1007/s00484-012-0525-y
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Weather conditions and voter turnout in Dutch national parliament elections, 1971-2010.
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- International Journal of Biometeorology, 2012, v. 56, n. 4, p. 783, doi. 10.1007/s00484-011-0477-7
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UTCI-Fiala multi-node model of human heat transfer and temperature regulation.
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- International Journal of Biometeorology, 2012, v. 56, n. 3, p. 429, doi. 10.1007/s00484-011-0424-7
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The perceived temperature - a versatile index for the assessment of the human thermal environment. Part A: scientific basics.
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- International Journal of Biometeorology, 2012, v. 56, n. 1, p. 165, doi. 10.1007/s00484-011-0409-6
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Estimation of the tourism climate in the Hunter Region, Australia, in the early twenty-first century.
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- International Journal of Biometeorology, 2011, v. 55, n. 4, p. 565, doi. 10.1007/s00484-010-0369-2
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Weather conditions and daily television use in the Netherlands, 1996-2005.
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- International Journal of Biometeorology, 2011, v. 55, n. 4, p. 555, doi. 10.1007/s00484-010-0366-5
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The use of webcam images to determine tourist-climate aptitude: favourable weather types for sun and beach tourism on the Alicante coast (Spain).
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- International Journal of Biometeorology, 2011, v. 55, n. 3, p. 373, doi. 10.1007/s00484-010-0347-8
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Qualitative and quantitative descriptions of temperature: a study of the terminology used by local television weather forecasters to describe thermal sensation.
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- International Journal of Biometeorology, 2010, v. 54, n. 2, p. 193, doi. 10.1007/s00484-009-0271-y
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The urban heat island and its impact on heat waves and human health in Shanghai.
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- International Journal of Biometeorology, 2010, v. 54, n. 1, p. 75, doi. 10.1007/s00484-009-0256-x
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A simple heat alert system for Melbourne, Australia.
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- International Journal of Biometeorology, 2008, v. 52, n. 5, p. 375, doi. 10.1007/s00484-007-0132-5
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IDEWS and the Building of Resilient Communities in the Eastern Highlands of Zimbabwe.
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- Journal of African History, Archaeology & Tourism, 2024, v. 2, n. 1, p. 75, doi. 10.31920/2753-3204/2024/v2n1a4
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Research on Data Mining Algorithm of Meteorological Observation Based on Data Quality Control Algorithm.
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- Wireless Personal Communications, 2018, v. 102, n. 2, p. 2077, doi. 10.1007/s11277-018-5258-8
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Self-Configured Free Space Optical System Transceiver Algorithm for Extreme Weather Conditions.
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- Wireless Personal Communications, 2017, v. 95, n. 2, p. 539, doi. 10.1007/s11277-016-3908-2
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Mining Based Urban Climate Disaster Index Service According to Potential Risk.
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- Wireless Personal Communications, 2016, v. 89, n. 3, p. 1009, doi. 10.1007/s11277-016-3212-1
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Interactive Design Recommendation Using Sensor Based Smart Wear and Weather WebBot.
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- Wireless Personal Communications, 2013, v. 73, n. 2, p. 243, doi. 10.1007/s11277-013-1234-5
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Changes in local climatic factors under different oasis-town configurations in an arid region: a case study of Hami Oasis.
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- Climatic Change, 2020, v. 161, n. 3, p. 517, doi. 10.1007/s10584-020-02735-0
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Indigenous knowledge for seasonal weather and climate forecasting across East Africa.
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- Climatic Change, 2019, v. 156, n. 4, p. 509, doi. 10.1007/s10584-019-02476-9
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Are amphibians tracking their climatic niches in response to climate warming? A test with Iberian amphibians.
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- Climatic Change, 2019, v. 154, n. 1/2, p. 289, doi. 10.1007/s10584-019-02422-9
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Narratives of nineteenth century drought in southern Africa in different historical source types.
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- Climatic Change, 2019, v. 152, n. 3/4, p. 467, doi. 10.1007/s10584-018-2352-6
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Drivers of response to extreme weather warnings among marine fishermen.
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- Climatic Change, 2018, v. 150, n. 3/4, p. 417, doi. 10.1007/s10584-018-2284-1
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Modeling and analysis of the potential impacts on regional climate due to vegetation degradation over arid and semi-arid regions of China.
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- Climatic Change, 2017, v. 144, n. 3, p. 461, doi. 10.1007/s10584-016-1847-2
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The great divide: understanding the role of media and other drivers of the partisan divide in public concern over climate change in the USA, 2001-2014.
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- Climatic Change, 2017, v. 141, n. 4, p. 599, doi. 10.1007/s10584-017-1908-1
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Natural hazards in Australia: heatwaves.
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- Climatic Change, 2016, v. 139, n. 1, p. 101, doi. 10.1007/s10584-016-1650-0
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Natural hazards in Australia: storms, wind and hail.
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- Climatic Change, 2016, v. 139, n. 1, p. 55, doi. 10.1007/s10584-016-1737-7
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Barriers and enablers to the use of seasonal climate forecasts amongst organisations in Europe.
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- Climatic Change, 2016, v. 137, n. 1/2, p. 89, doi. 10.1007/s10584-016-1671-8
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Assessing the impact of CMIP5 climate multi-modeling on estimating the precipitation seasonality and timing.
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- Climatic Change, 2016, v. 135, n. 2, p. 357, doi. 10.1007/s10584-015-1559-z
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