Search Results - "MCNORTON, R"

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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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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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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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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Dissipative acoustic solitons under a weakly-nonlinear, Lagrangian-averaged Euler-α model of single-phase lossless fluids by Keiffer, Richard S., McNorton, R., Jordan, P.M., Christov, Ivan C.

“…A one-dimensional weakly-nonlinear model equation based on a Lagrangian-averaged Euler-α model of compressible flow in lossless fluids is presented. Traveling…”
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Electronic structure of the dilute magnetic semiconductor Zn0.90Mn0.10S obtained by soft x-ray spectroscopy and first-principles calculations by SCHULER, T. M, STERN, R. A, MCNORTON, R, WILLOUGHBY, S. D, MACLAREN, J. M, EDERER, D. L, PEREZ-DIESTE, V, HIMPSEL, F. J, LOPEZ-RIVERA, S. A, CALLCOTT, T. A

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State of Wildfires 2023–2024 by Jones, Matthew W, Kelley, Douglas I, Burton, Chantelle A, Di Giuseppe, Francesca, Barbosa, Maria Lucia F, Brambleby, Esther, Hartley, Andrew J, Lombardi, Anna, Mataveli, Guilherme, McNorton, Joe R, Spuler, Fiona R, Wessel, Jakob B, Abatzoglou, John T, Anderson, Liana O, Andela, Niels, Archibald, Sally, Armenteras, Dolors, Burke, Eleanor, Carmenta, Rachel, Chuvieco, Emilio, Clarke, Hamish, Doerr, Stefan H, Fernandes, Paulo M, Giglio, Louis, Hamilton, Douglas S, Hantson, Stijn, Harris, Sarah, Jain, Piyush, Kolden, Crystal A, Kurvits, Tiina, Lampe, Seppe, Meier, Sarah, New, Stacey, Parrington, Mark, Perron, Morgane M. G, Qu, Yuquan, Ribeiro, Natasha S, Saharjo, Bambang H, San-Miguel-Ayanz, Jesus, Shuman, Jacquelyn K, Tanpipat, Veerachai, van der Werf, Guido R, Veraverbeke, Sander, Xanthopoulos, Gavriil

“…Climate change contributes to the increased frequency and intensity of wildfires globally, with significant impacts on society and the environment. However,…”
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Dissipative acoustic solitons under a weakly-nonlinear, Lagrangian-averaged Euler-α model of single-phase lossless fluids: Nonlinear Waves in Action: Propagation and Interaction- in honor of Christo I. Christov by KEIFFER, Richard S, MCNORTON, R, JORDAN, P. M, CHRISTOV, Ivan C

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Representing model uncertainty for global atmospheric CO.sub.2 flux inversions using ECMWF-IFS-46R1 by McNorton, Joe R, Bousserez, Nicolas, Agustí-Panareda, Anna, Balsamo, Gianpaolo, Choulga, Margarita, Dawson, Andrew, Engelen, Richard, Kipling, Zak, Lang, Simon

“…Atmospheric flux inversions use observations of atmospheric CO.sub.2 to provide anthropogenic and biogenic CO.sub.2 flux estimates at a range of…”
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Representing model uncertainty for global atmospheric CO 2 flux inversions using ECMWF-IFS-46R1 by McNorton, Joe R., Bousserez, Nicolas, Agustí-Panareda, Anna, Balsamo, Gianpaolo, Choulga, Margarita, Dawson, Andrew, Engelen, Richard, Kipling, Zak, 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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Systematic trends of first-principles electronic structure computations of Zn 1 − x A x B diluted magnetic semiconductors by McNorton, R. D., Schuler, T. M., MacLaren, J. M., Stern, R. A.

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Electronic structure of the dilute magnetic semiconductor Zn 0.90 Mn 0.10 S obtained by soft x-ray spectroscopy and first-principles calculations by Schuler, T. M., Stern, R. A., McNorton, R., Willoughby, S. D., MacLaren, J. M., Ederer, D. L., Perez-Dieste, V., Himpsel, F. J., Lopez-Rivera, S. A., Callcott, T. A.

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