Search Results - "McNorton, J."

A Global Probability‐Of‐Fire (PoF) Forecast by McNorton, J. R., Di Giuseppe, F., Pinnington, E., Chantry, M., Barnard, C.

“…Accurate wildfire forecasting can inform regional management and mitigation strategies in advance of fire occurrence. Existing systems typically use fire…”
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Role of regional wetland emissions in atmospheric methane variability by McNorton, J., Gloor, E., Wilson, C., Hayman, G. D., Gedney, N., Comyn‐Platt, E., Marthews, T., Parker, R. J., Boesch, H., Chipperfield, M. P.

“…Atmospheric methane (CH4) accounts for ~20% of the total direct anthropogenic radiative forcing by long‐lived greenhouse gases. Surface observations show a…”
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Large Methane Emissions From the Pantanal During Rising Water‐Levels Revealed by Regularly Measured Lower Troposphere CH4 Profiles by Gloor, M., Gatti, L. V., Wilson, C., Parker, R. J., Boesch, H., Popa, E., Chipperfield, M. P., Poulter, B., Zhang, Z., Basso, L., Miller, J., McNorton, J., Jimenez, C., Prigent, C.

“…The Pantanal region of Brazil is the largest seasonally flooded tropical grassland and, according to local chamber measurements, a substantial CH4 source. CH4…”
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An Urban Scheme for the ECMWF Integrated Forecasting System: Single‐Column and Global Offline Application by McNorton, J. R., Arduini, G., Bousserez, N., Agustí‐Panareda, A., Balsamo, G., Boussetta, S., Choulga, M., Hadade, I., Hogan, R. J.

“…The societal benefits of numerical weather prediction (NWP) forecasts are most evident in populated areas. An urban representation within NWP models should…”
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The Water Balance Representation in Urban‐PLUMBER Land Surface Models by Jongen, H. J., Lipson, M., Teuling, A. J., Grimmond, S., Baik, J.‐J., Best, M., Demuzere, M., Fortuniak, K., Huang, Y., De Kauwe, M. G., Li, R., McNorton, J., Meili, N., Oleson, K., Park, S.‐B., Sun, T., Tsiringakis, A., Varentsov, M., Wang, C., Wang, Z.‐H., Steeneveld, G. J.

“…Urban Land Surface Models (ULSMs) simulate energy and water exchanges between the urban surface and atmosphere. However, earlier systematic ULSM comparison…”
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An Urban Scheme for the ECMWF Integrated Forecasting System: Global Forecasts and Residential CO2 Emissions by McNorton, J., Agustí‐Panareda, A., Arduini, G., Balsamo, G., Bousserez, N., Boussetta, S., Chericoni, M., Choulga, M., Engelen, R., Guevara, M.

“…The impact of urbanization on local weather patterns affects over half the global population. Global numerical weather prediction systems have reached a…”
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Attribution of recent increases in atmospheric methane through 3-D inverse modelling by McNorton, Joe, Wilson, Chris, Gloor, Manuel, Parker, Rob J, Boesch, Hartmut, Feng, Wuhu, Hossaini, Ryan, Chipperfield, Martyn P

“…The atmospheric methane (CH4) growth rate has varied considerably in recent decades. Unexplained renewed growth after 2006 followed 7 years of stagnation and…”
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Systematic detection of local CH4 anomalies by combining satellite measurements with high-resolution forecasts by Barré, Jérôme, Aben, Ilse, Agustí-Panareda, Anna, Balsamo, Gianpaolo, Bousserez, Nicolas, Dueben, Peter, Engelen, Richard, Inness, Antje, Lorente, Alba, McNorton, Joe, Vincent-Henri Peuch, Radnoti, Gabor, Ribas, Roberto

“…In this study, we present a novel monitoring methodology that combines satellite retrievals and forecasts to detect local CH4 concentration anomalies…”
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Quantification of methane emissions from hotspots and during COVID-19 using a global atmospheric inversion by McNorton, Joe, Bousserez, Nicolas, Agustí-Panareda, Anna, Balsamo, Gianpaolo, Cantarello, Luca, Engelen, Richard, Huijnen, Vincent, Inness, Antje, Kipling, Zak, Parrington, Mark, Ribas, Roberto

“…Concentrations of atmospheric methane (CH4), the second most important greenhouse gas, continue to grow. In recent years this growth rate has increased further…”
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Role of OH variability in the stalling of the global atmospheric CH4 growth rate from 1999 to 2006 by J. McNorton, J. McNorton, M. P. Chipperfield, M. P. Chipperfield, M. Gloor, C. Wilson, C. Wilson, W. Feng, W. Feng, G. D. Hayman, M. Rigby, P. B. Krummel, S. O'Doherty, R. G. Prinn, R. F. Weiss, D. Young, E. Dlugokencky, S. A. Montzka

“…The growth in atmospheric methane (CH4) concentrations over the past 2 decades has shown large variability on a timescale of several years. Prior to 1999 the…”
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Large and increasing methane emissions from eastern Amazonia derived from satellite data, 2010–2018 by Wilson, Chris, Chipperfield, Martyn P, Gloor, Manuel, Parker, Robert J, Boesch, Hartmut, McNorton, Joey, Gatti, Luciana V, Miller, John B, Basso, Luana S, Monks, Sarah A

“…We use a global inverse model, satellite data and flask measurements to estimate methane (CH4) emissions from South America, Brazil and the basin of the Amazon…”
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Large Methane Emissions From the Pantanal During Rising Water‐Levels Revealed by Regularly Measured Lower Troposphere CH 4 Profiles by Gloor, M., Gatti, L. V., Wilson, C., Parker, R. J., Boesch, H., Popa, E., Chipperfield, M. P., Poulter, B., Zhang, Z., Basso, L., Miller, J., McNorton, J., Jimenez, C., Prigent, C.

“…Abstract The Pantanal region of Brazil is the largest seasonally flooded tropical grassland and, according to local chamber measurements, a substantial CH 4…”
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Large Methane Emissions From the Pantanal During Rising Water‐Levels Revealed by Regularly Measured Lower Troposphere CH 4 Profiles by Gloor, M., Gatti, L. V., Wilson, C., Parker, R. J., Boesch, H., Popa, E., Chipperfield, M. P., Poulter, B., Zhang, Z., Basso, L., Miller, J., McNorton, J., Jimenez, C., Prigent, C.

“…Abstract The Pantanal region of Brazil is the largest seasonally flooded tropical grassland and, according to local chamber measurements, a substantial CH 4…”
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Exploring constraints on a wetland methane emission ensemble (WetCHARTs) using GOSAT observations by Parker, Robert J, Wilson, Chris, Bloom, A. Anthony, Comyn-Platt, Edward, Hayman, Garry, McNorton, Joe, Boesch, Hartmut, Chipperfield, Martyn P

“…Wetland emissions contribute the largest uncertainties to the current global atmospheric CH4 budget, and how these emissions will change under future climate…”
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An Urban Scheme for the ECMWF Integrated Forecasting System: Global Forecasts and Residential CO 2 Emissions by McNorton, J., Agustí‐Panareda, A., Arduini, G., Balsamo, G., Bousserez, N., Boussetta, S., Chericoni, M., Choulga, M., Engelen, R., Guevara, M.

“…Abstract The impact of urbanization on local weather patterns affects over half the global population. Global numerical weather prediction systems have reached…”
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Impact of El Niño–Southern Oscillation on the interannual variability of methane and tropospheric ozone by Rowlinson, Matthew J., Rap, Alexandru, Arnold, Stephen R., Pope, Richard J., Chipperfield, Martyn P., McNorton, Joe, Forster, Piers, Gordon, Hamish, Pringle, Kirsty J., Feng, Wuhu, Kerridge, Brian J., Latter, Barry L., Siddans, Richard

“…The interannual variability of the greenhouse gases methane (CH4) and tropospheric ozone (O3) is largely driven by natural variations in global emissions and…”
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Evaluation of wetland CH4 in the Joint UK Land Environment Simulator (JULES) land surface model using satellite observations by Parker, Robert J, Wilson, Chris, Comyn-Platt, Edward, Hayman, Garry, Marthews, Toby R, Bloom, A Anthony, Lunt, Mark F, Gedney, Nicola, Dadson, Simon J, McNorton, Joe, Humpage, Neil, Boesch, Hartmut, Chipperfield, Martyn P, Palmer, Paul I, Yamazaki, Dai

“…Wetlands are the largest natural source of methane. The ability to model the emissions of methane from natural wetlands accurately is critical to our…”
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Global anthropogenic CO2 emissions and uncertainties as a prior for Earth system modelling and data assimilation by Choulga, Margarita, Janssens-Maenhout, Greet, Super, Ingrid, Solazzo, Efisio, Agusti-Panareda, Anna, Balsamo, Gianpaolo, Bousserez, Nicolas, Crippa, Monica, Hugo Denier van der Gon, Engelen, Richard, Guizzardi, Diego, Kuenen, Jeroen, McNorton, Joe, Oreggioni, Gabriel, Visschedijk, Antoon

“…The growth in anthropogenic carbon dioxide (CO2) emissions acts as a major climate change driver, which has widespread implications across society, influencing…”
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A global fuel characteristic model and dataset for wildfire prediction by McNorton, Joe R, Di Giuseppe, Francesca

“…Effective wildfire management and prevention strategies depend on accurate forecasts of fire occurrence and propagation. Fuel load and fuel moisture content…”
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Representing model uncertainty for global atmospheric CO2 flux inversions using ECMWF-IFS-46R1 by McNorton, Joe R, Bousserez, Nicolas, Agustí-Panareda, Anna, Balsamo, Gianpaolo, Choulga, Margarita, Dawson, Andrew, Engelen, Richard, Zak Kipling, Lang, Simon

“…Atmospheric flux inversions use observations of atmospheric CO2 to provide anthropogenic and biogenic CO2 flux estimates at a range of spatio-temporal scales…”
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