Journal articles: 'Met Office'

1

Eden, Philip. "Met Office." Weather 62, no. 10 (October 4, 2007): 291. http://dx.doi.org/10.1002/wea.131.

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2

Williams, Ivor. "The Met Office moves west." Weather 59, no. 11 (November 1, 2004): 309–10. http://dx.doi.org/10.1256/wea.229.03.

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Groves, Keith. "Keith Groves, Met Office, replies:." Weather 60, no. 4 (April 2005): 109. http://dx.doi.org/10.1256/wea.32.05.

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4

Eccleston, Andrew. "This is the Met. Office. Produced by the Met." Weather 46, no. 3 (March 1991): 88. http://dx.doi.org/10.1002/j.1477-8696.1991.tb05707.x.

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5

Hand, W. H. "The Met Office Convection Diagnosis Scheme." Meteorological Applications 9, no. 1 (March 2002): 69–83. http://dx.doi.org/10.1017/s1350482702001081.

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6

Hunt, J. C. R. "The Met. Office Data Policy Statement." Weather 50, no. 2 (February 1995): 59–61. http://dx.doi.org/10.1002/j.1477-8696.1995.tb06079.x.

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7

Moseley, Stephen. "Reply by Stephen Moseley, Met Office." Weather 65, no. 3 (March 2010): 83. http://dx.doi.org/10.1002/wea.561.

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8

Pike, W. S. "The history of Abingdon met. office." Weather 62, no. 6 (2007): 160–65. http://dx.doi.org/10.1002/wea.72.

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9

Lloyd, Philippa. "Met. Office rides out the storm." Nature 329, no. 6142 (October 1987): 750. http://dx.doi.org/10.1038/329750a0.

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10

Carroll, E. B., and T. D. Hewson. "NWP Grid Editing at the Met Office." Weather and Forecasting 20, no. 6 (December 1, 2005): 1021–33. http://dx.doi.org/10.1175/waf872.1.

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Abstract Over the past few years the way in which central forecast guidance is disseminated by forecasters in the Met Office headquarters has been changing, with an increasing reliance on modification of variables’ output from NWP models. The editing of grids of forecast data at the Met Office Operations Centre in Exeter is described, and two case studies are presented. Results of verification of modified versus raw fields are shown, presenting the concept of “lead time gain” as a unifying measure of relative forecast accuracy. At all lead times net lead time gain outweighs time spent considering and effecting modifications.

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Jones, Andrew. "Atmospheric dispersion modelling at the Met Office." Weather 59, no. 11 (November 1, 2004): 311–16. http://dx.doi.org/10.1256/wea.106.04.

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Groves, Keith. "Current forecasting capability at the Met Office." Weather 59, no. 11 (November 1, 2004): 295–98. http://dx.doi.org/10.1256/wea.126.04.

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13

Pike, W. S. "The history of Biggin Hill met. office." Weather 60, no. 4 (April 2005): 99–103. http://dx.doi.org/10.1256/wea.68.04.

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14

Szentirmai, Tamás. "Jelszerű kettősség : A Richter Gedeon új közösségi és irodaépülete (Debrecen)." Metszet 12, no. 1 (2021): 46–51. http://dx.doi.org/10.33268/met.2021.1.6.

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Due to changes in the way people work, digital technology and home office working, this office development for a pharmaceutical company has taken a change for what some may consider the absurd. Leading to the creation of an office building which supports a community space. The possibility of a future where business and community become mutually beneficial seems to be at hand, with the potential of softening the often-harsh environments created by industrial/business parks.

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15

Gómez, Breogán, Cristina L. Charlton-Pérez, Huw Lewis, and Brett Candy. "The Met Office Operational Soil Moisture Analysis System." Remote Sensing 12, no. 22 (November 11, 2020): 3691. http://dx.doi.org/10.3390/rs12223691.

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In this study, the current Met Office operational land surface data assimilation system used to produce soil moisture analyses is presented. The main aim of including Land Surface Data Assimilation (LSDA) in both the global and regional systems is to improve forecasts of surface air temperature and humidity. Results from trials assimilating pseudo-observations of 1.5 m air temperature and specific humidity and satellite-derived soil wetness (ASCAT) observations are analysed. The pre-processing of all the observations is described, including the definition and construction of the pseudo-observations. The benefits of using both observations together to produce improved forecasts of surface air temperature and humidity are outlined both in the winter and summer seasons. The benefits of using active LSDA are quantified by the root mean squared error, which is computed using both surface observations and European Centre for Medium-Range Weather Forecasts (ECMWF) analyses as truth. For the global model trials, results are presented separately for the Northern (NH) and Southern (SH) hemispheres. When compared against ground-truth, LSDA in winter NH appears neutral, but in the SH it is the assimilation of ASCAT that contributes to approximately a 2% improvement in temperatures at lead times beyond 48 h. In NH summer, the ASCAT soil wetness observations degrade the forecasts against observations by about 1%, but including the screen level pseudo-observations provides a compensating benefit. In contrast, in the SH, the positive effect comes from including the ASCAT soil wetness observations, and when both observations types are assimilated there is a compensating effect. Finally, we demonstrate substantial improvements to hydrological prediction when using land surface data assimilation in the regional model. Using the Nash-Sutcliffe Efficiency (NSE) metric as an aggregated measure of river flow simulation skill relative to observations, we find that NSE was improved at 106 of 143 UK river gauge locations considered after LSDA was introduced. The number of gauge comparisons where NSE exceeded 0.5 is also increased from 17 to 28 with LSDA.

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16

Revell, S. J., and P. Hignett. "MONIM: the new Met Office Night Illumination Model." Meteorological Applications 11, no. 3 (September 2004): 221–29. http://dx.doi.org/10.1017/s1350482704001276.

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17

Hagelin, Susanna, Joohyung Son, Richard Swinbank, Anne McCabe, Nigel Roberts, and Warren Tennant. "The Met Office convective-scale ensemble, MOGREPS-UK." Quarterly Journal of the Royal Meteorological Society 143, no. 708 (October 2017): 2846–61. http://dx.doi.org/10.1002/qj.3135.

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18

Ewins, P. "The Met. Office - fit for the 21st Century?" Atmospheric Science Letters 1, no. 2 (July 2000): 156–69. http://dx.doi.org/10.1006/asle.2000.0016.

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19

Anonymous. "U.K. Met Office forecast for Atlantic hurricane season." Eos, Transactions American Geophysical Union 88, no. 27 (July 3, 2007): 278. http://dx.doi.org/10.1029/2007eo270003.

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20

Pozniak, H. "What's happened to the weather? [Weather - Met Office]." Engineering & Technology 15, no. 6 (July 1, 2020): 70–73. http://dx.doi.org/10.1049/et.2020.0615.

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21

Standen, Jessica, Clive Wilson, Simon Vosper, and Peter Clark. "Prediction of local wind climatology from Met Office models: Virtual Met Mast techniques." Wind Energy 20, no. 3 (August 12, 2016): 411–30. http://dx.doi.org/10.1002/we.2013.

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22

Radford, A. M. "Forecasting the movement of tropical cyclones at the Met. Office." Meteorological Applications 1, no. 4 (January 10, 2007): 355–63. http://dx.doi.org/10.1002/met.5060010406.

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23

Sylvester, Ádám. "Találkozás a salétrom utcai loffice épülettel." Metszet 12, no. 1 (2021): 40–45. http://dx.doi.org/10.33268/met.2021.1.5.

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Walking around the main boulevard in Budapest this building jumps out from a backstreet, the bold use of white finishes and a four-floor high themed, figurative, monumental shading device raise this project above its surroundings. Instantly leading any passerby to consider what is the function and who are the users? A fresh approach to community office space, somewhere on the borderline between loft living and office aesthetic. A building which at first glance seems to be luxurious regarding its function on closer inspection reveals its inner humble character, inspiring creativity and positivity.

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24

Williams, K. D., C. M. Harris, A. Bodas-Salcedo, J. Camp, R. E. Comer, D. Copsey, D. Fereday, et al. "The Met Office Global Coupled model 2.0 (GC2) configuration." Geoscientific Model Development 8, no. 5 (May 21, 2015): 1509–24. http://dx.doi.org/10.5194/gmd-8-1509-2015.

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Abstract. The latest coupled configuration of the Met Office Unified Model (Global Coupled configuration 2, GC2) is presented. This paper documents the model components which make up the configuration (although the scientific description of these components is detailed elsewhere) and provides a description of the coupling between the components. The performance of GC2 in terms of its systematic errors is assessed using a variety of diagnostic techniques. The configuration is intended to be used by the Met Office and collaborating institutes across a range of timescales, with the seasonal forecast system (GloSea5) and climate projection system (HadGEM) being the initial users. In this paper GC2 is compared against the model currently used operationally in those two systems. Overall GC2 is shown to be an improvement on the configurations used currently, particularly in terms of modes of variability (e.g. mid-latitude and tropical cyclone intensities, the Madden–Julian Oscillation and El Niño Southern Oscillation). A number of outstanding errors are identified with the most significant being a considerable warm bias over the Southern Ocean and a dry precipitation bias in the Indian and West African summer monsoons. Research to address these is ongoing.

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25

Williams, K. D., C. M. Harris, A. Bodas-Salcedo, J. Camp, R. E. Comer, D. Copsey, D. Fereday, et al. "The Met Office Global Coupled model 2.0 (GC2) configuration." Geoscientific Model Development Discussions 8, no. 1 (January 27, 2015): 521–65. http://dx.doi.org/10.5194/gmdd-8-521-2015.

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Abstract. The latest coupled configuration of the Met Office Unified Model (Global Coupled configuration 2, GC2) is presented. This paper documents the model components which make up the configuration (although the scientific description of these components is detailed elsewhere) and provides a description of the coupling between the components. The performance of GC2 in terms of its systematic errors is assessed using a variety of diagnostic techniques. The configuration is intended to be used by the Met Office and collaborating institutes across a range of timescales, with the seasonal forecast system (GloSea5) and climate projection system (HadGEM) being the initial users. In this paper GC2 is compared against the model currently used operationally in those two systems.

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26

COVELL, DAVID G. "Information Needs in Office Practice: Are They Being Met?" Annals of Internal Medicine 103, no. 4 (October 1, 1985): 596. http://dx.doi.org/10.7326/0003-4819-103-4-596.

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27

Marenco, F., J. Kent, M. Adam, J. Buxmann, P. Francis, and J. Haywood. "Remote Sensing of Volcanic ASH at the Met Office." EPJ Web of Conferences 119 (2016): 07003. http://dx.doi.org/10.1051/epjconf/201611907003.

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28

Hunt, J. C. R. "Data management in the Met. Office - a policy statement." Weather 48, no. 7 (July 1993): 227–29. http://dx.doi.org/10.1002/j.1477-8696.1993.tb05893.x.

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29

Long, D. J., D. R. Jackson, J. Thuburn, and C. Mathison. "Validation of Met Office upper stratospheric and mesospheric analyses." Quarterly Journal of the Royal Meteorological Society 139, no. 674 (October 30, 2012): 1214–28. http://dx.doi.org/10.1002/qj.2031.

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30

Sloan, C., and M. R. Clark. "A comparison of three Met Office wind observing systems." Atmospheric Science Letters 13, no. 4 (August 1, 2012): 283–88. http://dx.doi.org/10.1002/asl.396.

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31

Hunt, Roger. "The end of weather forecasting at Met Office London." Weather 62, no. 6 (2007): 143–46. http://dx.doi.org/10.1002/wea.81.

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32

Lloyd, Philippa. "Inquest verdict on Met. Office failure to predict storms." Nature 332, no. 6159 (March 1988): 7. http://dx.doi.org/10.1038/332007a0.

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33

Groves, Keith. "Letters: Forecast accuracy ? the view from the Met Office." Weather 59, no. 12 (December 1, 2004): 355–56. http://dx.doi.org/10.1256/wea.154.04.

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34

Heffernan, Olive. "UK Met Office hit by cuts to climate project." Nature 460, no. 7251 (July 2009): 21. http://dx.doi.org/10.1038/460021b.

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35

Hocking, James, Peter N. Francis, and Roger Saunders. "Cloud detection in Meteosat Second Generation imagery at the Met Office." Meteorological Applications 18, no. 3 (January 4, 2011): 307–23. http://dx.doi.org/10.1002/met.239.

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36

Thorpe, S. A. "The Meteorological Office Annual Review 1990/91. the Met. Office. July 1991. Pp. 28. Free." Quarterly Journal of the Royal Meteorological Society 118, no. 503 (January 1992): 174–76. http://dx.doi.org/10.1002/qj.49711850313.

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37

Heming, J. T. "Evaluation of and improvements to the Met Office tropical cyclone initialisation scheme." Meteorological Applications 16, no. 3 (September 2009): 339–51. http://dx.doi.org/10.1002/met.129.

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38

Kapu, Konstantinus, Endah Dewi Muliandari, and Deli Nirmala. "Grammatical Errors in English for Office BLK Instructional Materials." PAROLE: Journal of Linguistics and Education 8, no. 2 (November 23, 2018): 46. http://dx.doi.org/10.14710/parole.v8i2.46-51.

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English for Office is one of the programs that is conducted by Balai Latihan Kerja (or BLK for short) or Vocational and Education Training Center (VETC) in Kajen, Pekalongan. BLKhas30 students who prepare their English to work at offices. The English materials are supplied by BLK staff. This paper aims at finding out errors and interlanguage phenomena which occur in the English for Office material used at BLK training. The data were collected by observing the English for Office material at BLK. The result shows that the English for Office materialsat BLKhave grammatical errors, inter-language issues, and sentence or item ambiguity. The grammatical errors consist of misused forms and ambiguous words. From the study, it can be recommended that there should be a proofreading and try out process in order that the materials have met quality control conditions.

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39

Tang, Yongming, Humphrey W. Lean, and Jorge Bornemann. "The benefits of the Met Office variable resolution NWP model for forecasting convection." Meteorological Applications 20, no. 4 (February 21, 2012): 417–26. http://dx.doi.org/10.1002/met.1300.

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40

Heming, J. T. "Tropical cyclone tracking and verification techniques for Met Office numerical weather prediction models." Meteorological Applications 24, no. 1 (December 13, 2016): 1–8. http://dx.doi.org/10.1002/met.1599.

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41

Bellouin, N., W. J. Collins, I. D. Culverwell, P. R. Halloran, S. C. Hardiman, T. J. Hinton, C. D. Jones, et al. "The HadGEM2 family of Met Office Unified Model climate configurations." Geoscientific Model Development 4, no. 3 (September 7, 2011): 723–57. http://dx.doi.org/10.5194/gmd-4-723-2011.

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Abstract. We describe the HadGEM2 family of climate configurations of the Met Office Unified Model, MetUM. The concept of a model "family" comprises a range of specific model configurations incorporating different levels of complexity but with a common physical framework. The HadGEM2 family of configurations includes atmosphere and ocean components, with and without a vertical extension to include a well-resolved stratosphere, and an Earth-System (ES) component which includes dynamic vegetation, ocean biology and atmospheric chemistry. The HadGEM2 physical model includes improvements designed to address specific systematic errors encountered in the previous climate configuration, HadGEM1, namely Northern Hemisphere continental temperature biases and tropical sea surface temperature biases and poor variability. Targeting these biases was crucial in order that the ES configuration could represent important biogeochemical climate feedbacks. Detailed descriptions and evaluations of particular HadGEM2 family members are included in a number of other publications, and the discussion here is limited to a summary of the overall performance using a set of model metrics which compare the way in which the various configurations simulate present-day climate and its variability.

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42

Bellouin, N., W. J. Collins, I. D. Culverwell, P. R. Halloran, S. C. Hardiman, T. J. Hinton, C. D. Jones, et al. "The HadGEM2 family of Met Office Unified Model Climate configurations." Geoscientific Model Development Discussions 4, no. 2 (April 1, 2011): 765–841. http://dx.doi.org/10.5194/gmdd-4-765-2011.

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Abstract. We describe the HadGEM2 family of climate configurations of the Met Office Unified Model, MetUM. The concept of a model "family" comprises a range of specific model configurations incorporating different levels of complexity but with a common physical framework. The HadGEM2 family of configurations includes atmosphere and ocean components, with and without a vertical extension to include a well-resolved stratosphere, and an Earth-System (ES) component which includes dynamic vegetation, ocean biology and atmospheric chemistry. The HadGEM2 physical model includes improvements designed to address specific systematic errors encountered in the previous climate configuration, HadGEM1, namely Northern Hemisphere continental temperature biases and tropical sea surface temperature biases and poor variability. Targeting these biases was crucial in order that the ES configuration could represent important biogeochemical climate feedbacks. Detailed descriptions and evaluations of particular HadGEM2 family members are included in a number of other publications, and the discussion here is limited to a summary of the overall performance using a set of model metrics which compare the way in which the various configurations simulate present-day climate and its variability.

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43

Rooney, Gabriel Gerard, and Francisco Jorge Bornemann. "The performance of FLake in the Met Office Unified Model." Tellus A: Dynamic Meteorology and Oceanography 65, no. 1 (December 2013): 21363. http://dx.doi.org/10.3402/tellusa.v65i0.21363.

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44

Bain, C. L., K. D. Williams, S. F. Milton, and J. T. Heming. "Objective tracking of African Easterly Waves in Met Office models." Quarterly Journal of the Royal Meteorological Society 140, no. 678 (February 8, 2013): 47–57. http://dx.doi.org/10.1002/qj.2110.

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45

Rawlins, F., S. P. Ballard, K. J. Bovis, A. M. Clayton, D. Li, G. W. Inverarity, A. C. Lorenc, and T. J. Payne. "The Met Office global four-dimensional variational data assimilation scheme." Quarterly Journal of the Royal Meteorological Society 133, no. 623 (January 2007): 347–62. http://dx.doi.org/10.1002/qj.32.

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46

Murray, S. A., S. Bingham, M. Sharpe, and D. R. Jackson. "Flare forecasting at the Met Office Space Weather Operations Centre." Space Weather 15, no. 4 (April 2017): 577–88. http://dx.doi.org/10.1002/2016sw001579.

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47

Paice, Nigel. "Unusual weather observations from 35 years in the Met Office." Weather 70, no. 6 (June 2015): 173–76. http://dx.doi.org/10.1002/wea.2483.

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48

Tandy, Colin. "A personal view of the Met Office in the 1950s." Weather 72, no. 5 (May 2017): 128. http://dx.doi.org/10.1002/wea.2913.

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49

Collins, William, M. Doutriaux-Boucher, C. Jones, F. O'Connor, and I. Totterdell. "The Met Office Hadley Centre next generation Earth System Model." IOP Conference Series: Earth and Environmental Science 6, no. 5 (January 1, 2009): 052007. http://dx.doi.org/10.1088/1755-1307/6/5/052007.

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50

Hadlington, Simon. "Met. Office and defence research lose out in spending proposals." Nature 333, no. 6171 (May 1988): 286. http://dx.doi.org/10.1038/333286a0.

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Journal articles on the topic 'Met Office'

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