Development and Tests of a New Distributed-Memory MM5 Adjoint

Journal of Atmospheric and Oceanic Technology - Tập 23 Số 3 - Trang 424-436 - 2006
Frank H. Ruggiero1, John Michalakes2, Thomas Nehrkorn3, George D. Modica3, Xiaolei Zou4
1Space Vehicles Directorate, Air Force Research Laboratory, Hanscom AFB, Massachusetts
2National Center for Atmospheric Research Boulder, Colorado
3Atmospheric and Environmental Research, Inc., Lexington, Massachusetts
4Department of Meteorology, The Florida State University, Tallahassee, Florida

Tóm tắt

Abstract Updated versions of the Tangent Linear Model (TLM) and adjoint of the fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5) have been developed and are now available to the meteorological community. The previous version of the MM5 TLM and adjoint were designed for single-processor computer architectures, based on version 1 of MM5, and were hand coded, which made it difficult to maintain up-to-date versions of the TLM and the adjoint as MM5 evolved. The new TLM and adjoint are based on version 3 of MM5 and run efficiently on multiple-processor computers. The TLM and adjoint were developed with the aid of the Tangent Linear and Adjoint Model Compiler (TAMC) automatic code generator. While some manual intervention is still necessary, the use of the automatic code generator can significantly speed code development and lower code maintenance costs. The new TLM and adjoint contain most of the physics packages and observation operators that were available in the MM5 version 1 TLM and adjoint. The new adjoint has been combined with the MM5 version 3 nonlinear model and an updated minimization module in a four-dimensional variational data assimilation analysis configuration. Accuracy of the new TLM and adjoint has been verified by individual unit and system tests as well as comparisons with the adjoint from MM5 version 1. Timing tests showed substantial decreases in time to solution when increasing the number of processors devoted to the problem.

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Tài liệu tham khảo

Alberty, 1980, Severe weather events of 10 April 1979., Bull. Amer. Meteor. Soc., 61, 1033

Andersson, 2005, Assimilation and modeling of the atmospheric hydrological cycle in the ECMWF forecast system., Bull. Amer. Meteor. Soc., 86, 387, 10.1175/BAMS-86-3-387

Anthes, 1978, Development of hydrodynamic models suitable for air pollution and other mesometeorological studies., Mon. Wea. Rev., 106, 1045, 10.1175/1520-0493(1978)106<1045:DOHMSF>2.0.CO;2

Arakawa, A., and V. R.Lamb, 1977: Computational design of the basic dynamical process of the UCLA general circulation model. Methods in Computational Physics, Vol. 17, Academic Press, 173–265.

Asselin, 1972, Frequency filter for time integrations., Mon. Wea. Rev., 100, 487, 10.1175/1520-0493(1972)100<0487:FFFTI>2.3.CO;2

Blackadar, 1979, High resolution models of the planetary boundary layer.

Courtier, 1994, A strategy for operational implementation of 4DVAR, using an incremental approach., Quart. J. Roy. Meteor. Soc., 120, 1367, 10.1002/qj.49712051912

Deardorff, 1972, Parameterization of the planetary boundary layer for use in general circulation models., Mon. Wea. Rev., 100, 93, 10.1175/1520-0493(1972)100<0093:POTPBL>2.3.CO;2

Dudhia, 1989, Numerical study of convection observed during the Winter Monsoon Experiment using a mesoscale two-dimensional model., J. Atmos. Sci., 46, 3077, 10.1175/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2

Errico, 1999, An examination of the accuracy of the linearization of a mesoscale model with moist physics., Quart. J. Roy. Meteor. Soc., 125, 169, 10.1002/qj.49712555310

Gauthier, 2001, Impact of the digital filter as a weak constraint in the preoperational 4DVAR assimilation system of Météo-France., Mon. Wea. Rev., 129, 2089, 10.1175/1520-0493(2001)129<2089:IOTDFA>2.0.CO;2

Gérard, 1999, Four-dimensional variational assimilation of Special Sensor Microwave/Imager total column water vapour in the ECMWF model., Quart. J. Roy. Meteor. Soc., 125, 3077, 10.1002/qj.49712556014

Giering, R. , 1999: Tangent Linear and Adjoint Model Compiler. Users manual 1.4, 64 pp. [Available online at http://www.autodiff.com/tamc/document.html.].

Giering, 1998, Recipes for adjoint code construction., Assoc. Comput. Mach. Trans. Math. Software, 24, 437, 10.1145/293686.293695

Grell, 1993, Prognostic evaluation of assumptions used by cumulus parameterizations., Mon. Wea. Rev., 121, 764, 10.1175/1520-0493(1993)121<0764:PEOAUB>2.0.CO;2

Grell, G. A., J.Dudhia, and D. R.Stauffer, 1995: A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5). NCAR Tech. Note NCAR/TN-398-STR, 122 pp. [Available from UCAR Communications, P.O. Box 3000, Boulder, CO 80307.].

Ide, 1997, Unified notation for data assimilation: Operational, sequential and variational., J. Meteor. Soc. Japan, 75B, 181, 10.2151/jmsj1965.75.1B_181

Kaminski, 1996, Sensitivity of the seasonal cycle of CO2 at remote monitoring stations with respect to seasonal surface exchange fluxes determined with the adjoint of an atmospheric transport models., Phys. Chem. Earth, 21, 457, 10.1016/S0079-1946(97)81142-1

Kleist, 2005, Interpretation of the structure and evolution of adjoint-derived forecast sensitivity gradients., Mon. Wea. Rev., 133, 466, 10.1175/MWR-2865.1

Klemp, 1978, The simulation of three-dimensional convective storm dynamics., J. Atmos. Sci., 35, 1070, 10.1175/1520-0469(1978)035<1070:TSOTDC>2.0.CO;2

Kuo, 1974, Further studies of the influence of cumulus convection on larger-scale flow., J. Atmos. Sci., 31, 1232, 10.1175/1520-0469(1974)031<1232:FSOTPO>2.0.CO;2

Kuo, 1996, Variational assimilation of precipitable water using a nonhydrostatic mesoscale adjoint model. Part I: Moisture retrieval and sensitivity experiments., Mon. Wea. Rev., 124, 122, 10.1175/1520-0493(1996)124<0122:VAOPWU>2.0.CO;2

Le Dimet, 1986, Variational algorithms for analysis and assimilation of meteorological observations: Theoretical aspects., Tellus, 38A, 97, 10.1111/j.1600-0870.1986.tb00459.x

Liu, 1989, On the limited memory BFGS method for large scale optimization., Math. Programm., 45, 503, 10.1007/BF01589116

Lorenc, 2003, The potential of the ensemble Kalman filter for NWP—A comparison with 4DVAR., Quart. J. Roy. Meteor. Soc., 129, 3183, 10.1256/qj.02.132

Mahfouf, 1999, Influence of physical processes on the tangent-linear approximation., Tellus, 51A, 147, 10.3402/tellusa.v51i2.12312

Marotzke, 1999, Construction of the adjoint of the MIT ocean general circulation model and application to Atlantic heat transport sensitivity., J. Geophys. Res., 104, 29529, 10.1029/1999JC900236

Mass, 1998, Regional real-time numerical weather prediction: Current status and future potential., Bull. Amer. Meteor. Soc., 79, 253, 10.1175/1520-0477(1998)079<0253:RRTNWP>2.0.CO;2

Michalakes, J. , 1997a: FLIC: A translator for same-source parallel implementation of regular grid applications. Mathematics and Computer Science Division Tech. Rep. ANL/MCS-TM-223, Argonne National Laboratory, Argonne, IL, 11 pp.

Michalakes, J. , 1997b: RSL: A parallel runtime system library for regional atmospheric models with nesting. Structured Adaptive Mesh Refinement (SAMR) Grid Methods, S. Baden et al., Eds., IMA Volumes in Mathematics and its Applications, Vol. 117, Springer, 59–74.

Michalakes, 2000, The same source parallel MM5., Sci. Programm., 8, 5

Rabier, 2000, The ECMWF operational implementation of four-dimensional variational assimilation. I: Experimental results with simplified physics., Quart. J. Roy. Meteor. Soc., 126A, 1143, 10.1002/qj.49712656415

Sun, 2005, Initialization and numerical forecast of a supercell storm observed during STEPS., Mon. Wea. Rev., 133, 793, 10.1175/MWR2887.1

Veersé, 1998, Multiple-truncation incremental approach for four-dimensional variational data assimilation., Quart. J. Roy. Meteor. Soc., 124, 1889, 10.1002/qj.49712455006

Vukicevic, 2004, Mesoscale cloud state estimation from visible and infrared satellite radiances., Mon. Wea. Rev., 132, 3066, 10.1175/MWR2837.1

Ware, 2003, A multichannel radiometric profiler of temperature, humidity, and cloud liquid., Radio Sci., 38, 10.1029/2002RS002856

Wee, 2004, Impact of a digital filter as a weak constraint in MM5 4DVAR: An observing system simulation experiment., Mon. Wea. Rev., 132, 543, 10.1175/1520-0493(2004)132<0543:IOADFA>2.0.CO;2

Zou, X., F.Vandenberge, M.Pondeca, and Y-H.Kuo, 1997: Introduction to adjoint techniques and the MM5 adjoint modeling system. NCAR Tech. Note NCAR/TN-435-STR, 107 pp. [Available from UCAR Communications, P.O. Box 3000, Boulder, CO 80307.].

Zou, 2001, A numerical study of the effect of GOES sounder cloud-cleared brightness temperatures on the prediction of Hurricane Felix., J. Appl. Meteor., 40, 34, 10.1175/1520-0450(2001)040<0034:ANSOTE>2.0.CO;2

Zupanski, 2002, Four-dimensional variational data assimilation for the blizzard of 2000., Mon. Wea. Rev., 130, 1967, 10.1175/1520-0493(2002)130<1967:FDVDAF>2.0.CO;2