A review of targeted observations

Bulletin of the American Meteorological Society

Volumn 97, Issue 12, 2016, Pages 2287-2303

  Majumdar, Sharanya J ^a  

^a UNIVERSITY OF MIAMI   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

METEOROLOGY;

HIGH IMPACT; NOCV1; WEATHER EVENTS;

EARTH ATMOSPHERE;

EID: 85011634326     PISSN: 00030007     EISSN: None     Source Type: Journal    
DOI: 10.1175/BAMS-D-14-00259.1     Document Type: Review

References (63)

1. Aberson, S. D., 2003: Targeted observations to improve operational tropical cyclone track forecast guidance. Mon. Wea. Rev., 131, 1613-1628, doi: 10.1175//2550.1.
2. -, 2010: 10 years of hurricane synoptic surveillance (1997-2006). Mon. Wea. Rev., 138, 1536-1549, doi: 10.1175/2009MWR3090.1.
3. -, 2011: The impact of dropwindsonde data from the THORPEX-Pacific Area Regional Campaign and the NOAA Hurricane Field Program on tropical cyclone forecasts in the Global Forecasting System. Mon. Wea. Rev., 139, 2689-2703, doi: 10.1175/2011MWR3634.1.
4. Agusti-Panareda, A., A. Beljaars, C. Cardinali, I. Genkova, and C. Thorncroft, 2010: Impact of assimilating AMMA soundings on ECMWF analyses and forecasts. Wea. Forecasting, 25, 1142-1160, doi: 10.1175/2010WAF2222370.1.
5. Ancell, B., and G. J. Hakim, 2007: Comparing adjoint-and ensemble-sensitivity analysis with applications to observation targeting. Mon. Wea. Rev., 135, 4117-4134, doi: 10.1175/2007MWR1904.1.
6. Baker, N. L., and R. Daley, 2000: Observation and background adjoint sensitivity in the adaptive observation-targeting problem. Quart. J. Roy. Meteor. Soc., 126, 1431-1454, doi: 10.1002/qj.49712656511.
7. Bauer, P., R. Buizza, C. Cardinali, and J.-N. Thépaut, 2011: Impact of singular vector based satellite data thinning on NWP. Quart. J. Roy. Meteor. Soc., 137, 286-302, doi: 10.1002/qj.733.
8. Berger, H., R. Langland, C. S. Velden, C. A. Reynolds, and P. M. Pauley, 2011: Impact of enhanced satellite-derived atmospheric motion vector observations on numerical tropical cyclone track forecasts in the western North Pacific during TPARC/TCS-08. J. Appl. Meteor. Climatol., 50, 2309-2318, doi: 10.1175/JAMC-D-11-019.1.
9. Bergot, T., 1999: Adaptive observations during FASTEX: A systematic survey of upstream flights. Quart. J. Roy. Meteor. Soc., 125, 3271-3298, doi: 10.1002/qj.49712556108.
10. -, G. Hello, A. Joly, and S. Malardel, 1999: Adaptive observations: A feasibility study. Mon. Wea. Rev., 127, 743-765, doi: 10.1175/1520-0493(1999)127<0743:AOAFS>2.0.CO;2.
11. Bielli, S., M. Grzeschik, E. Richard, C. Flamant, C. Champollion, C. Kiemle, M. Dorninger, and P. Brousseau, 2012: Assimilation of water-vapour airborne lidar observations: Impact study on the COPS precipitation forecasts. Quart. J. Roy. Meteor. Soc., 138, 1652-1667, doi: 10.1002/qj.1864.
12. Bishop, C. H., and Z. Toth, 1999: Ensemble transformation and adaptive observations. J. Atmos. Sci., 56, 1748-1765, doi: 10.1175/1520-0469(1999)056<1748:ETAAO>2.0.CO;2.
13. -, B. J. Etherton, and S. J. Majumdar, 2001: Adaptive sampling with the ensemble transform Kalman filter. Part I: Theoretical aspects. Mon. Wea. Rev., 129, 420-436, doi: 10.1175/1520-0493(2001)129<0420:ASWTET>2.0.CO;2.
14. Boullot, N., F. Rabier, R. Langland, R. Gelaro, C. Cardinali, V. Guidard, P. Bauer, and A. Doerenbecher, 2016: Observation impact over the southern polar area during the Concordiasi field campaign. Quart. J. Roy. Meteor. Soc., 142, 597-610, doi: 10.1002/qj.2470.
15. Buizza, R., and A. Montani, 1999: Targeted observations using singular vectors. J. Atmos. Sci., 56, 2965-2985, doi: 10.1175/1520-0469(1999)056<2965:TOUSV>2.0.CO;2.
16. -, C. Cardinali, G. Kelly, and J.-N. Thépaut, 2007: The value of observations. II: The value of observations located in singular-vector-based target areas. Quart. J. Roy. Meteor. Soc., 133, 1817-1832, doi: 10.1002/qj.149.
17. Burpee, R. W., J. L. Franklin, S. J. Lord, R. E. Tuleya, and S. D. Aberson, 1996: The impact of Omega dropwindsondes on operational hurricane track forecast models. Bull. Amer. Meteor. Soc., 77, 925-933, doi: 10.1175/1520-0477(1996)077<0925:TIOODO>2.0.CO;2.
18. Campins, J., B. Navascués, C. Santos, and A. Amo-Baladrón, 2013: Inf luence of targeted observations on short-term forecasts of high-impact weather events in the Mediterranean. Nat. Hazards Earth Syst. Sci., 13, 2891-2910, doi: 10.5194/nhess-13-2891-2013.
19. Cardinali, C., R. Buizza, G. Kelly, M. Shapiro, and J.N. Thépaut, 2007: The value of observations. III: Influence of weather regimes on targeting. Quart. J. Roy. Meteor. Soc., 133, 1833-1842, doi: 10.1002/qj.148.
20. Chou, K.-H., C.-C. Wu, P.-H. Lin, S. D. Aberson, M. Weissmann, F. Harnisch, and T. Nakazawa, 2011: The impact of dropwindsonde obser vations on typhoon track forecasts in DOTSTAR and T-PARC. Mon. Wea. Rev., 139, 1728-1743, doi: 10.1175/2010MWR3582.1.
21. Curtin, T. B., and J. G. Bellingham, 2009: Progress toward autonomous ocean sampling networks. Deep-Sea Res. II, 56, 62-67, doi: 10.1016/j.dsr2.2008.09.005.
22. Doyle, J. D., C. Amerault, C. A. Reynolds, and P. A. Reinecke, 2014: Initial condition sensitivity and predictability of a severe extratropical cyclone using a moist adjoint. Mon. Wea. Rev., 142, 320-342, doi: 10.1175/MWR-D-13-00201.1.
23. Drobinski, P., and Coauthors, 2013: Driftsonde observations to evaluate numerical weather prediction of the late 2006 African monsoon. J. Appl. Meteor. Climatol., 52, 974-995, doi: 10.1175/JAMC-D-11-0176.1.
24. Faccani, C., and Coauthors, 2009: The impact of the AMMA rawinsonde data on the French global assimilation and forecast system. Wea. Forecasting, 24, 1268-1286, doi: 10.1175/2009WAF2222237.1.
25. Fritts, D. E., and Coauthors, 2016: The Deep Propagating Gravity Wave Experiment (DEEPWAVE): An airborne and ground-based exploration of gravity wave propagation and effects from their sources throughout the lower and middle atmosphere. Bull. Amer. Meteor. Soc., 97, 425-453, doi: 10.1175/BAMS-D-14-00269.1.
26. Gelaro, R., T. Rosmond, and R. Daley, 2002: Singular vector calculations with an analysis error variance metric. Quart. J. Roy. Meteor. Soc., 128, 205-228, doi: 10.1256/00359000260498860.
27. -, R. H. Langland, S. Pellerin, and R. Todling, 2010: The THORPEX Observation Impact Intercomparison Experiment. Mon. Wea. Rev., 138, 4009-4025, doi: 10.1175/2010MWR3393.1.
28. Hamill, T. M., F. Yang, C. Cardinali, and S. J. Majumdar, 2013: Impact of targeted Winter Storm Reconnaissance dropwindsonde data on midlatitude numerical weather predictions. Mon. Wea. Rev., 141, 2058-2065, doi: 10.1175/MWR-D-12-00309.1.
29. Hoffman, R. N., and R. Atlas, 2016: Future observing system simulation experiments. Bull. Amer. Meteor. Soc., 97, 1601-1616, doi: 10.1175/BAMS-D-15-00200.1.
30. Irvine, E. A., S. L. Gray, J. Methven, I. A. Renfrew, K. Bovis, and R. Swinbank, 2009: The impact of targeted observations made during the Greenland Flow Distortion Experiment. Quart. J. Roy. Meteor. Soc., 135, 2012-2029, doi: 10.1002/qj.499.
31. -, -, and -, 2011: Targeted observations of a polar low in the Norwegian Sea. Quart. J. Roy. Meteor. Soc., 137, 1688-1699, doi: 10.1002/qj.914.
32. Jansa, A., and Coauthors, 2014: MEDEX: A general overview. Nat. Hazards Earth Syst. Sci., 14, 1965-1984, doi: 10.5194/nhess-14-1965-2014.
33. Joly, A., and Coauthors, 1999: Overview of the field phase of the Fronts and Atlantic Storm-Track EXperiment (FASTEX) project. Quart. J. Roy. Meteor. Soc., 125, 3131-3163, doi: 10.1002/qj.49712556103.
34. Langland, R. H., 2005: Issues in targeted observing. Quart. J. Roy. Meteor. Soc., 131, 3409-3425, doi: 10.1256/qj.05.130.
35. -, and N. L. Baker, 2004: Estimation of observation impact using the NRL atmospheric variational data assimilation adjoint system. Tellus, 56A, 189-201, doi: 10.1111/j.1600-0870.2004.00056.x.
36. -, R. Gelaro, G. D. Rohaly, and M. A. Shapiro, 1999a: Targeted observations in FASTEX: Adjoint-based targeting procedures and data impact experiments in IOPs-17 and 18. Quart. J. Roy. Meteor. Soc., 125, 3241-3270, doi: 10.1002/qj.49712556107.
37. -, and Coauthors, 1999b: The North Pacific Experiment (NORPEX-98): Targeted observations for improved North American weather forecasts. Bull. Amer. Meteor. Soc., 80, 1363-1384, doi: 10.1175/1520-0477(1999)080<1363:TNPENT>2.0.CO;2.
38. Lorenz, E. N., and K. A. Emanuel, 1998: Optimal sites for supplementary weather observations: Simulation with a small model. J. Atmos. Sci., 55, 399-414, doi: 10.1175/1520-0469(1998)055<0399:OSFSWO>2.0.CO;2.
39. Majumdar, S. J., C. H. Bishop, B. J. Etherton, and Z. Toth, 2002: Adaptive sampling with the ensemble transform Kalman filter. Part II: Field program implementation. Mon. Wea. Rev., 130, 1356-1369, doi: 10.1175/1520-0493(2002)130<1356:ASWTET>2.0.CO;2.
40. -, and Coauthors, 2011: Targeted observations for improving numerical weather prediction: An overview. WWRP/THORPEX Publ. 15, 37 pp. [Available online at www.wmo.int/pages/prog/arep/wwrp/new/documents/THORPEX-No-15.pdf.]
41. Palmer, T. N., R. Gelaro, J. Barkmeijer, and R. Buizza, 1998: Singular vectors, metrics, and adaptive observations. J. Atmos. Sci., 55, 633-653, doi: 10.1175/1520-0469(1998)055<0633:SVMAAO>2.0.CO;2.
42. Parsons, D. B., and Coauthors, 2017: THORPEX research and the science of prediction. Bull. Amer. Meteor. Soc., doi: 10.1175/BAMS-D-14-00025.1, in press.
43. Pu, Z., and E. Kalnay, 1999: Targeting observations with the quasi-linear inverse and adjoint NCEP global models. Quart. J. Roy. Meteor. Soc., 125, 3329-3338, doi: 10.1002/qj.49712556110.
44. -, -, J. Sela, and I. Szunyogh, 1997: Sensitivity of forecast error to initial conditions with a quasi-inverse linear method. Mon. Wea. Rev., 125, 2479-2503, doi: 10.1175/1520-0493(1997)125<2479:SOFETI>2.0.CO;2.
45. Rabier, F., and Coauthors, 2008: An update on THORPEX-related research in data assimilation and observing strategies. Nonlinear Processes Geophys., 15, 81-94, doi: 10.5194/npg-15-81-2008.
46. -, and Coauthors, 2013: The Concordiasi field experiment over Antarctica: First results from innovative atmospheric measurements. Bull. Amer. Meteor. Soc., 94, ES17-ES20, doi: 10.1175/BAMS-D-12-00005.1.
47. Renfrew, I. A., and Coauthors, 2008: The Greenland Flow Distortion Experiment. Bull. Amer. Meteor. Soc., 89, 1307-1324, doi: 10.1175/2008BAMS2508.1.
48. Reynolds, C. A., R. H. Langland, P. M. Pauley, and C. Velden, 2013: Tropical cyclone data impact studies: Influence of model bias and synthetic observations. Mon. Wea. Rev., 141, 4373-4394, doi: 10.1175/MWR-D-12-00300.1.
49. Romine, G. S., C. S. Schwartz, R. D. Torn, and M. L. Weisman, 2016: Impact of assimilating dropsonde observations from MPEX on ensemble forecasts of severe weather events. Mon. Wea. Rev., 144, 3799-3823, doi: 10.1175/MWR-D-15-0407.1.
50. Ruf, C., and Coauthors, 2016: New ocean winds satellite mission to probe hurricanes and tropical convection. Bull. Amer. Meteor. Soc., 97, 385-395, doi: 10.1175/BAMS-D-14-00218.1.
51. Shapiro, M. A., and A. J. Thorpe, 2004: THORPEX International Science Plan, version 3. WMO/TD 1246, WWRP/THORPEX Rep. 2, 51 pp. [Available online at www.wmo.int/pages/prog/arep/wwrp/new/documents/CD-ROM-international-science-plan-v3.pdf.]
52. Snyder, C., 1996: Summary of an informal workshop on adaptive observations and FASTEX. Bull. Amer. Meteor. Soc., 77, 953-961.
53. Szunyogh, I., Z. Toth, A. Zimin, S. J. Majumdar, and A. Persson, 2002: On the propagation of the effect of targeted observations: The 2000 Winter Storm Reconnaissance program. Mon. Wea. Rev., 130, 1144-1165, doi: 10.1175/1520-0493(2002)130<1144:POTEOT>2.0.CO;2.
54. Torn, R. D., and G. J. Hakim, 2008: Ensemble-based sensitivity analysis. Mon. Wea. Rev., 136, 663-677, doi: 10.1175/2007MWR2132.1.
55. Weisman, M., and Coauthors, 2015: The Mesoscale Predictability Experiment (MPEX). Bull. Amer. Meteor. Soc., 96, 2127-2149, doi: 10.1175/BAMS-D-13-00281.1.
56. Weissmann, M., and C. Cardinali, 2007: Impact of airborne Doppler lidar observations on ECMWF forecasts. Quart. J. Roy. Meteor. Soc., 133, 107-116, doi: 10.1002/qj.16.
57. -, and Coauthors, 2011: The influence of assimilating dropsonde data on typhoon track and midlatitude forecasts. Mon. Wea. Rev., 139, 908-920, doi: 10.1175/2010MWR3377.1.
58. -, R. H. Langland, C. Cardinali, P. M. Pauley, and S. Rahm, 2012: Influence of airborne Doppler wind lidar profiles near Typhoon Sinlaku on ECMWF and NOGAPS forecasts. Quart. J. Roy. Meteor. Soc., 138, 118-130, doi: 10.1002/qj.896.
59. Wu, C.-C., and Coauthors, 2005: Dropwindsonde Observations for Typhoon Surveillance near the Taiwan Region (DOTSTAR): An over view. Bull. Amer. Meteor. Soc., 86, 787-790, doi: 10.1175/BAMS-86-6-787.
60. -, J-H. Chen, P-H. Lin, and K-H. Chou, 2007: Targeted observations of tropical cyclone movement based on the adjoint-derived sensitivity steering vector. J. Atmos. Sci., 64, 2611-2626, doi: 10.1175/JAS3974.1.
61. -, and Coauthors, 2009: Intercomparison of targeted observation guidance for tropical cyclones in the northwestern Pacific. Mon. Wea. Rev., 137, 2471-2492, doi: 10.1175/2009MWR2762.1.
62. Wulfmeyer, V., and Coauthors, 2008: The Convective and Orographically Induced Precipitation Study: A research and development project of the World Weather Research Program for improving quantitative precipitation forecasting in low-mountain regions. Bull. Amer. Meteor. Soc., 89, 1477-1486, doi: 10.1175/2008BAMS2367.1.
63. Zhang, F., and Y. Weng, 2015: Predicting hurricane intensity and associated hazards: A five-year real-time forecast experiment with assimilation of airborne doppler radar observations. Bull. Amer. Meteor. Soc., 96, 25-32, doi: 10.1175/BAMS-D-13-00231.1.