Examination of parameter variations in the U. S. Navy Global Ensemble
References
-
Alhamed
, A., Lakshmivarahan, S.and Stensrud, D. J. 2002. Cluster analysis of multimodel ensemble data from SAMEX. Mon. Wea. Re v. 130, 226– 256. -
Andreas
, E. L. 2009. A new value of the von Kármán constant: implica-tions and implementation. J. AppL Met. Clim. 48, 923– 944. -
Berner
, J., Schutts, G. J., Leutbecher, M.and Palmer, T. N. 2009. A spectral stochastic kinetic energy backscatter scheme and its impact on flow-dependent predictability in the ECMWF ensemble prediction system.. 66, 603– 626. -
Berner
, J., Ha, S.-Y., Hacker, J. P., Fournier, A.and Snyder, C. 2011. Model uncertainty in a mesoscale ensemble prediction sys-tem: stochastic versus multi-physics representations. Mon. Wea. Re v. 139, 1972– 1995. -
Betts
, A. K.and Miller, M. J. 1986. A new convective adjustment scheme. Part II: single column tests using GATE wave, BOMEX, ATEX and arctic air-mass data sets. Quart. J. Roy. Meteor Soc. 112, 693– 709. -
Bishop
, C. H.and Toth, Z. 1999. Ensemble transformation and adaptive observations.. 56, 1748– 1765. -
Bowler
, N. E., Arribas, A., Beare, S. E., Mylne, K. R.and Schutts, G. J. 2009. The local ETKF and SKEB: upgrades to the MOGREPS short-range ensemble prediction system. Quart. J. Roy. Meteor Soc. 135, 767– 776. -
Bowler
, N. E., Arribas, A., Mylne, K. R., Robertson, K. B.and Beare, S. E. 2008. The MOGREPS short-range ensemble prediction system. Quart. J. Roy. Meteor Soc. 134, 703– 722. -
Businger
, J. A., Wyngaard, J. C., Izumi, Y.and Bradley, E. F. 1971. Flux profile relationships in the atmospheric surface layer.. 28, 181– 189. -
Bright
, D. R.and Mullen, S. L. 2002. Short-range ensemble forecasts of precipitation during the southwest monsoon. Wea. Forecast. 17, 1080– 1100. -
Buizza
, R.and Palmer, T. N. 1998. Impact of ensemble size on ensemble prediction. Mon. Wea. Re v. 126, 2503– 2518. -
Buizza
, R., Miller, M.and Palmer, T. N., 1999. Stochastic representation of model uncertainties in the ECMWF Ensemble Prediction System. Quart. J. Roy. Meteor Soc. 125, 2887– 2908. -
Charron
, M., Pellerin, G., Spacek, L., Houtekamer, P. L., Gangon, N.and co-authors. 2010. Toward random sampling of model error in the Canadian ensemble prediction system. Mon. Wea. Rev. 138, 1877– 1901. -
Chen
, S. S., Houze, Jr. , R. A.and Mapes, B. E.. 53, 1380- 1409. -
Chen
, S., Cummings, J., Doyle, J., Hodur, R., Holt, T.and co-authors. 2003. COAMPS version 3 model description-general theory and equations. Naval Research Laboratory Technical Report, NRL/PU7500-04-448.141 pp. -
Daley
, R.and Barker, E. 2001. NAVDAS: formulation and diagnostics. Mon. Wea. Re v. 129, 869– 883. -
Emanuel
, K. A., 1991. A scheme for representing cumulus convection in large-scale models.. 48, 2313– 2335. -
Emanuel
, K.A.and Zivkovic-Rothman, M. 1999. Development and eval-uation of a convection scheme for use in climate models.. 56, 1766– 1782. -
Foken
, T. 2008. Interactive comment on “The von Kárman constant retrieved from CASE-97 dataset using a variational method” by Y., Zhang. 8, S67655-S6659,http://www.atmos-chem-phys-discuss.net/8/56655/2008/ . -
Goerss
, J. S. 2000. Tropical cyclone track forecasts using an ensemble of dynamical models. Mon. Wea. Re v. 128, 1187– 1193. -
Harshvardhan, Davies
, R., Randall, D. A.and Corsetti, T. G.. 92, 1009- 1016. -
Hayashi
, Y.-Y.and Sumi, A. 1986. The 30-40 day oscillations simulated in an “aqua-planet” model. J. MeteoroL Soc. Japan, 451– 466. -
Hacker
, J. P., Ha, S.-Y., Snyder, C., Berner, J., Eckel, E A.and co-authors. 2011a. The U.S. Air Force Weather Agency’s mesoscale ensemble: scientific description and performance results., 625- 641. -
Hacker
, J. P., Snyder, C., Ha, S.-Y.and Pocernich, M. 2011b. Linear and non-linear response to parameter variations in a mesoscale model. Tellus, 429– 444. -
Hendon
, H. H. 1988. A simple model of the 40-50 day oscillation.. 45, 569– 584. -
Hodur
, R. M. 1997. The Naval Research Laboratory’s Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS). Mon. Wea. Re v. 125, 1414– 1430. -
Hogan
, T. F.and Pauley, R. L. 2007. The impact of convective momen-tum transport on tropical cyclone track forecasts using the Emanuel cumulus parameterization. Mon. Wea. Re v. 135, 1195– 1207. -
Houtekamer
, P.L., Lefaivre, L., Derome, J., Ritchie, H.and Mitchell, H. L. 1996. A system simulation approach to ensemble prediction. Mon. Wea. Re v. 124, 1225– 1242. -
Kain
, J. S.and Fritsch, J. M. 1992. The role of the convective “trigger function” in numerical forecasts of mesoscale convective systems. Meteorol. Atmos. Phys. 49, 93– 106. -
Li
, X., Charron, M., Spacek, L.and Candille, G. 2008. A regional ensemble prediction system based on moist targeted singular vectors and stochastic parameter perturbations. Mon. Wea. Re v. 136, 443– 462. -
Lin
, J. W.-B.and Neelin, J. D. 2000. Influence of a stochastic moist convective parameterization on tropical climate variability. Geophys. Res. Lett. 27, 3691– 3694. -
Louis
, J. E. A parametric model of vertical eddy fluxes in the atmosphere. Bound.-Layer Meteor, 187– 202. -
Louis
, J. F., Tiedtke, M.and Geleyn, J. F. 1982. A short history of the operational PBL parameterization at ECMWF. In, 59- 79. -
Madden
, R.and Julian, P. 1971. Detection of a 40-50 day oscillation in the zonal wind in the tropical Pacific.. 28, 702– 708. -
Madden
, R.and Julian, P. 1972. Description of global scale circula-tion cells in the tropics with a 40-50 day period.. 29, 1109– 1123. -
Madden
, R.and Julian, P. 1994. Observations of the 40-50 day tropical oscillation-a review. Mon. Wea. Re v. 122, 814– 837. -
McLay
, J. G.and Reynolds, C. A. 2009. Two alternative implementations of the ensemble-transform (ET) analysis-perturbation scheme: the ET with extended cycling intervals, and the ET without cycling. Quart. J. Roy. Meteor Soc. 135, 1200– 1213. -
McLay
, J. G., Bishop, C. H.and Reynolds, C. A. 2008. Evaluation of the ensemble transform analysis perturbation scheme at NRL. Mon. Wea. Re v. 136, 1093– 1108. -
McLay
, J. G., Bishop, C. H.and Reynolds, C. A. 2007. The ensemble transform scheme adapted for the generation of stochastic perturba-tions. Quart. J. Roy. Meteor Soc. 133, 1257– 1266. -
Peng
, M. S., Ridoutand Hogan, T. F. 2004. Recent Modifications of the Emanuel Convective Scheme in the Navy Operational Global Atmospheric Prediction System. Mon. Wea. Re v. 132, 1254– 1268. -
Raymond
, D. J. 1995. Regulation of moist convection over the west Pacific warm pool.. 52, 3945– 3959. -
Reynolds
, C. A., McLay, J. G., Goerss, J. S., Serra, E. A., Hodyss, D.and co-authors. 2011. Impact of resolution and design on the U.S. Navy Global Ensemble Performance in the Tropics. Mon. Wea. Rev. 139, 2145-215 5. -
Reynolds
, C. A., Teixeira, J.and McLay, J. G. 2008. Impact of stochas-tic convection on the ensemble transform. Mon. Wea. Re v. 136, 4517– 4526. -
Ridout
, J. A., Jin, Y.and Liou, C.-S. 2005. A cloud-base quasi-balance constraint for parameterized convection: application to the Kain-Fritsch cumulus scheme. Mon. Wea. Re v. 133, 3315– 3334. -
Sampson
, C. R.and Schrader, A. J. 2000. The Automated Tropical Cyclone Forecasting System (Version 3.2). Bull. Am. Meteor Soc. 81, 1231– 1240. -
Schumacher
, C.and HouzeJr. . Comparison of radar data from the TRMM satellite and Kwajalein oceanic validation site. J. Appl. Meteor, 2151– 2164. -
Shuns
, G.and Palmer, T. N. 2004. The use of high-resolution numeri-cal simulations of tropical circulation to calibrate stochastic physics schemes. In. ECMWF, Reading, United Kingdom, 83- 102. -
Shuns
, G. 2005. A kinetic energy bacicscatter algorithm for use in ensem-ble prediction systems. Quart. J. Roy. Meteor Soc. 131, 3079– 3102. -
Simpson
, J., Adler, R. F.and North. 1988. Proposed Tropical Rainfall Measuring Mission (TRMM) satellite. Bull. Am. Meteor. Soc. 69, 278– 295. -
Stensrud
, D. J., Bao, J.-W.and Warner, T. T. 2000. Using initial condition and model physics perturbations in short-range ensemble simulations of mesoscale convective systems. Mon. Wea. Re v. 128, 2077– 2107. -
Teixeira
, J.and Hogan, T.F. 2002. Boundary layer clouds in a global atmospheric model: simple cloud cover parameterizations. J. Climate, 15, 1261– 1276. -
Teixeira
, J.and Reynolds, C. A. 2008. Stochastic nature of physical parameterizations in ensemble prediction: a stochastic convection ap-proach. Mon. Wea. Re v. 136, 483– 496. -
Toth
, Z.and Kalnay, E. 1993. Ensemble forecasting at NMC: the gen-eration of perturbations. Bull. Am. Meteor. Soc. 74, 2317– 2330. -
Wang
, X.and Bishop, C. H. 2003. A comparison of breeding and en-semble transform Kalman filter ensemble forecast schemes.. 60, 1140– 1158. -
Wei
, M., Toth, Z., Wobus, R.and Zhu, Y. 2008. Initial perturbations based on the ensemble transform (ET) technique in the NCEP global operation forecast system. Taus, 62– 79. -
Wei
, M., Toth, Z., Wobus, R., Zhu, Y., Bishop, C. H.and co-authors. 2006. Ensemble transform Kalman filter-based ensemble perturba-tions in an operational global prediction system at NCEP., 58A, 28- 44. -
Wilks
, D. S. 2006. Statistical Methods in the Atmospheric Sciences. 2nd Edition., Burlington, MA, USA, 627 pp. -
Zhang
, Y., Ma, J.and Cao, Z. 2008. The von Kármán constant retrieved from CASES-97 dataset using a variational method. Atmos. Chem. Phys. 8, 7045– 7053.
DOI: https://doi.org/10.1111/j.1600-0870.2011.00532.x | Journal eISSN: 3035-9554
Language: English
Page range: 841 - 857
Submitted on: Feb 4, 2011
Accepted on: Jun 10, 2011
Published on: Jan 1, 2011
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
© 2011 Carolyn A. Reynolds, James A. Ridout, Justin G. McLay, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.