Using High Spatial-resolution Regional Atmospheric Data for Computation of GRACE Atmospheric De-aliasing Models

doi:10.11947/j.AGCS.2017.20160554

Abstract

Abstract: Focusing on the problem that the spatial horizontal resolution of ECMWFop or ERA-Interim atmospheric data is not enough for the computation of atmospheric de-aliasing models in GRACE gravity recovery, a method of suitable fusion of local high spatial horizontal resolution atmospheric data and global atmospheric data is proposed. A set of improved atmospheric de-aliasing models is calculated by using the atmospheric data from the local area of Europe and ERA-Interim. The quality of the modified atmospheric de-aliasing models is analyzed from the aspects of spectral domain, spatial domain and satellite-to-satellite range-rate residuals. The results show that the improvement ratio of the improved atmospheric de-aliasing models is 1.87% compared with the conventional atmospheric de-aliasing models, which is comparable to that of the AOD1B RL05 relative to the RL04. It is verified that the atmospheric data with high spatial horizontal resolution could improve the quality of atmospheric de-aliasing models. So it provides a new approach to improve the ability to extract specific mass variation signal in local area using GRACE data.

Key words: Earth gravity field, GRACE, atmospheric de-aliasing models, satellite-to-satellite range-rate residuals

CLC Number:

P228

YOU Wei. Using High Spatial-resolution Regional Atmospheric Data for Computation of GRACE Atmospheric De-aliasing Models[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(3): 316-324.

References

[1] WAHR J, MOLENAAR M, BRYAN F. Time Variability of the Earth's Gravity Field:Hydrological and Oceanic Effects and Their Possible Detection Using GRACE[J]. Journal of Geophysical Research:Solid Earth, 1998, 103(B12):30205-30229.
[2] KUSCHE J, KLEMANN V, BOSCH W. Mass Distribution and Mass Transport in the Earth System[J]. Journal of Geodynamics, 2012(59-60):1-8.
[3] TAPLEY B D, BETTADPUR S, RIES J C, et al. GRACE Measurements of Mass Variability in the Earth System[J]. Science, 2004, 305(5683):503-505.
[4] 卢飞, 游为, 范东明, 等. 由GRACE RL05数据反演近10年中国大陆水储量及海水质量变化[J]. 测绘学报, 2015, 44(2):160-167. DOI:10.11947/j.AGCS.2015.20130753. LU Fei, YOU Wei, FAN Dongming, et al. Chinese Continental Water Storage and Ocean Water Mass Variations Analysis in Recent Ten Years Based on GEACE RL05 Data[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(2):160-167. DOI:10.11947/j.AGCS.2015.20130753.
[5] FLECHTNER F, DOBSLAW H, FAGIOLINI E. AOD1B Product Description Document for Product Release 05[R]. Potsdam:GFZ German Research Centre for Geosciences, 2014:1-33.
[6] DUAN Jianbin, SHUM C K, GUO Junyi, et al. Uncovered Spurious Jumps in the GRACE Atmospheric De-aliasing Data:Potential Contamination of GRACE Observed Mass Change[J]. Geophysical Journal International, 2012, 191(1):83-87.
[7] FOROOTAN E, DIDOVA O, KUSCHE J, et al. Comparisons of Atmospheric Data and Reduction Methods for the Analysis of Satellite Gravimetry Observations[J]. Journal of Geophysical Research:Solid Earth, 2013, 118(5):2382-2396.
[8] FOROOTAN E, DIDOVA O, SCHUMACHER M, et al. Comparisons of Atmospheric Mass Variations Derived from ECMWF Reanalysis and Operational Fields, over 2003-2011[J]. Journal of Geodesy, 2014, 88(5):503-514.
[9] ZENNER L, GRUBER T, JÄGGI A, et al. Propagation of Atmospheric Model Errors to Gravity Potential Harmonics-impact on GRACE De-aliasing[J]. Geophysical Journal International, 2010, 182(2):797-807.
[10] ZENNER L, FAGIOLINI E, DARAS I, et al. Non-tidal Atmospheric and Oceanic Mass Variations and Their Impact on GRACE Data Analysis[J]. Journal of Geodynamics, 2012(59-60):9-15.
[11] ZENNER L. Atmospheric and Oceanic Mass Variations and Their Role for Gravity Field Determination[D]. München:Technischen Universität München,2013.
[12] DOBSLAW H, BERGMANN-WEOLF I, DILL R, et al. Product Description Document for AOD1B Release 06[R]. Potsdam:GFZ German Research Centre for Geosciences, 2016:1-73.
[13] DEE D P, UPPALA S M, SIMMONS A J, et al. The ERA-interim Reanalysis:Configuration and Performance of the Data Assimilation System[J]. Quarterly Journal of the Royal Meteorological Society, 2011, 137(656):553-597.
[14] SCHÄTTLER U, DOMS G, SCHRAFF C. A Description of the Nonhydro Static Regional COSMO-model Part Ⅶ:User's Guide[R]. Deutscher Wetterdienst, 2013:1-10.
[15] BOLLMEYER C, KELLER J D, OHLWEIN C, et al. Towards a High-resolution Regional Reanalysis for the European CORDEX Domain[J]. Quarterly Journal of the Royal Meteorological Society, 2015, 141(686):1-15.
[16] COLOMBO O L. Numerical Methods for Harmonic Analysis on the Sphere[R]. Ohio:Ohio State University, 1981:1-151.
[17] PAUL M K. Recurrence Relations for Integrals of Associated Legendre Functions[J]. Bulletin Géodésique, 1978, 52(3):177-190.
[18] HWANG C, KAO Y C. Spherical Harmonic Analysis and Synthesis Using FFT:Application to Temporal Gravity Variation[J]. Computers & Geosciences, 2006, 32(4):442-451.
[19] MAYER-GÜRR T. Gravitationsfeldbestimmung aus der Analyse kurzer Bahnbögen am Beispiel der Satellitenmissionen CHAMP und GRACE[D]. Bonn:Institut für Theoretische Geodäsie der Universität Bonn, 2006.
[20] STANDISH E M. JPL Planetary and Lunar Ephemerides DE405/LE405[R]. Pasadena:JPL, 1998:1-15.
[21] PETIT G, LUZUM B. IERS Conventions (2010)[R]. IERS Technical Note No. 36. Frankfurt am Main:BKG, 2010:1-100.
[22] RIESER D, MAYER-GÜRR T, SAVCENKO R, et al. The Ocean Tide Model EOT11a in Spherical Harmonics Representation[R]. Graz:Institute of Theoretical Geodesy and Satellite Geodesy(ITSG), 2012:1-4.
[23] BIANCALE R, BODE A. Mean Annual and Seasonal Atmospheric Tide Models Based on 3-hourly and 6-hourly ECMWF Surface Pressure Data[R]. Potsdam:GFZ German Research Centre for Geosciences, 2006:1-33.
[24] KIM J. Simulation Study of a Low-low Satellite-to-satellite Tracking Mission[D]. Austin:University of Texas, 2000.
[25] ELSAKA B. Simulated Satellite Formation Flights for Detecting the Temporal Variations of the Earth's Gravity Field[D]. Bonn:University of Bonn, 2010.