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Hao, Jingyan, Postdoktor
Publications (7 of 7) Show all publications
Xiao, H., Stark, A., Schmidt, F., Hao, J., Steinbrügge, G., Wagner, N. L., . . . Oberst, J. (2022). Spatio-Temporal Level Variations of the Martian Seasonal North Polar Cap From Co-Registration of MOLA Profiles. Journal of Geophysical Research - Planets, 127(10), Article ID e2021JE007158.
Open this publication in new window or tab >>Spatio-Temporal Level Variations of the Martian Seasonal North Polar Cap From Co-Registration of MOLA Profiles
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2022 (English)In: Journal of Geophysical Research - Planets, ISSN 2169-9097, E-ISSN 2169-9100, Vol. 127, no 10, article id e2021JE007158Article in journal (Refereed) Published
Abstract [en]

The seasonal deposition and sublimation of CO2 constitute a major element in Martian volatile cycles. We reprocess the Mars Orbiter Laser Altimeter (MOLA) data and apply co-registration procedures to obtain spatio-temporal variations in levels of the Seasonal North Polar Cap (SNPC). The maximum level over the Residual North Polar Cap (RNPC) is 1.3 m, approximately half of that at the south pole (2.5 m). However, the maximum level in the dune fields at Olympia Undae can be up to 3.8 m. Furthermore, off-season decreases up to 3 m during the northern winter at Olympia Undae are observed. These are likely due to metamorphism effects accentuated by the reduced snowfall at this period. Meanwhile, off-season increases of up to 2 m during the northern spring are noted, the cause of which remains to be explored. The volume of the SNPC peaks at the end of northern winter and is estimated to be approximately 9.6 × 1012 m3, which is 2% more than that of the Seasonal South Polar Cap. The bulk density of the SNPC can go through phased decreases in accordance with phased accumulation at northern high-latitudes. These findings can put important constraints on the Martian volatile cycling models.

Place, publisher, year, edition, pages
John Wiley & Sons, 2022
Keywords
Mars, seasonal polar cap, CO2 ice, MOLA, level variation, pseudo cross-over
National Category
Astronomy, Astrophysics and Cosmology
Research subject
Atmospheric science
Identifiers
urn:nbn:se:ltu:diva-93974 (URN)10.1029/2021JE007158 (DOI)000869744000001 ()2-s2.0-85141735610 (Scopus ID)
Note

Validerad;2022;Nivå 2;2022-11-09 (hanlid);

Funder: China Scholarship Council; Deutsche Forschungsgemeinschaft (SFB-TRR 170); DLR BigData Querschnittsplattform; Institut National des Sciences de l’Univers; Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales

Available from: 2022-11-09 Created: 2022-11-09 Last updated: 2022-12-06Bibliographically approved
Xiao, H., Stark, A., Schmidt, F., Hao, J., Su, S., Steinbrügge, G. & Oberst, J. (2022). Spatio‐temporal level variations of the Martian Seasonal South Polar Cap from co‐registration of MOLA profiles. Journal of Geophysical Research - Planets, 127(7), Article ID e2022JE007196.
Open this publication in new window or tab >>Spatio‐temporal level variations of the Martian Seasonal South Polar Cap from co‐registration of MOLA profiles
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2022 (English)In: Journal of Geophysical Research - Planets, ISSN 2169-9097, E-ISSN 2169-9100, Vol. 127, no 7, article id e2022JE007196Article in journal (Refereed) Published
Abstract [en]

The seasonal deposition and sublimation of CO2 represents a major element in the Martian volatile cycle. Here, co-registration strategies are applied to Mars Orbiter Laser Altimeter (MOLA) profiles to obtain spatio-temporal variations in snow/ice level of the Seasonal South Polar Cap (SSPC), in grid elements of 0.5° in latitude from 60°S to 87°S and 10° in longitude. The maximum snow/ice level in the range of 2 m to 2.5 m is observed over the Residual South Polar Cap. Peak level at the Residual South Polar Cap in Martian Year 25 (MY25) are found to be typically ∼0.5 m higher than those in MY24. The total volume is estimated to peak at approximately 9.4× 1012 m3. In addition, a map of average bulk density of the SSPC during its recession is derived. It implies much more snowfall-like precipitation at the Residual South Polar Cap and its surroundings than elsewhere on Mars.

Place, publisher, year, edition, pages
John Wiley & Sons, 2022
Keywords
MOLA, Mars, seasonal polar caps, level variations, CO2 ice, bulk density
National Category
Astronomy, Astrophysics and Cosmology
Research subject
Atmospheric science
Identifiers
urn:nbn:se:ltu:diva-92156 (URN)10.1029/2022je007196 (DOI)000826957300001 ()2-s2.0-85135039025 (Scopus ID)
Note

Validerad;2022;Nivå 2;2022-07-29 (hanlid);

Funder: China Scholarship Council (CSC); Deutsche Forschungsgemeinschaft (DFG) (SFB-TRR170); Institut National des Sciences de l’Univers (INSU); Centre National de la Recherche Scientifique (CNRS); Centre National d’Etudes Spatiales (CNES) 

Available from: 2022-07-13 Created: 2022-07-13 Last updated: 2022-11-09Bibliographically approved
Li, Y., Yu, J., Yu, X., Hao, J., Hao, J., Xu, H. & Yang, X. (2021). Analysis of seismic controlling factors of the Danjiangkou reservoir based on remote sensing and aeromagnetic data. In: Junhong Su, Junhao Chu, Qifeng Yu and Huilin Jiang (Ed.), Seventh Symposium on Novel Photoelectronic Detection Technology and Applications: . Paper presented at Seventh Symposium on Novel Photoelectronic Detection Technology and Application 2020, Kunming, China, November 5-7, 2020. SPIE - International Society for Optical Engineering, 11763, Article ID 117635P.
Open this publication in new window or tab >>Analysis of seismic controlling factors of the Danjiangkou reservoir based on remote sensing and aeromagnetic data
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2021 (English)In: Seventh Symposium on Novel Photoelectronic Detection Technology and Applications / [ed] Junhong Su, Junhao Chu, Qifeng Yu and Huilin Jiang, SPIE - International Society for Optical Engineering, 2021, Vol. 11763, article id 117635PConference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2021
Keywords
remote sensing
National Category
Geophysics
Identifiers
urn:nbn:se:ltu:diva-90632 (URN)10.1117/12.2587261 (DOI)000671015900204 ()2-s2.0-85103349985 (Scopus ID)
Conference
Seventh Symposium on Novel Photoelectronic Detection Technology and Application 2020, Kunming, China, November 5-7, 2020
Available from: 2022-05-12 Created: 2022-05-12 Last updated: 2022-05-18Bibliographically approved
Hao, J. (2020). Variability of spider spatial configuration at the Martian south pole. Planetary and Space Science, 185, Article ID 104848.
Open this publication in new window or tab >>Variability of spider spatial configuration at the Martian south pole
2020 (English)In: Planetary and Space Science, ISSN 0032-0633, E-ISSN 1873-5088, Vol. 185, article id 104848Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Elsevier, 2020
Keywords
spiders, remote sensing, Mars, spatial configuration
National Category
Geosciences, Multidisciplinary
Identifiers
urn:nbn:se:ltu:diva-90633 (URN)10.1016/j.pss.2020.104848 (DOI)000525920700008 ()2-s2.0-85081686425 (Scopus ID)
Note

Funder: German Space Agency (DLR Bonn) (grant no. 50QM1702 )

Available from: 2022-05-12 Created: 2022-05-12 Last updated: 2022-05-18Bibliographically approved
Hao, J., Michael, G., Adeli, S. & Jaumann, R. (2019). Araneiform terrain formation in Angustus Labyrinthus, Mars. Icarus, 317, 479-490
Open this publication in new window or tab >>Araneiform terrain formation in Angustus Labyrinthus, Mars
2019 (English)In: Icarus, ISSN 0019-1035, E-ISSN 1090-2643, Vol. 317, p. 479-490Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Elsevier, 2019
Keywords
Spiders, remote sensing, Mars, CO2 ice
National Category
Geosciences, Multidisciplinary
Identifiers
urn:nbn:se:ltu:diva-90634 (URN)10.1016/j.icarus.2018.07.026 (DOI)000455071300037 ()2-s2.0-85052852850 (Scopus ID)
Note

Funder: German Space Agency (DLR Bonn) (grant no. 50QM1702)

Available from: 2022-05-12 Created: 2022-05-12 Last updated: 2023-03-28Bibliographically approved
Li, X., Hao, J., Zhou, J. & Ren, D. (2014). On a Family of Trimodal Distributions. Communications in Statistics - Theory and Methods, 43(14), 2886-2896
Open this publication in new window or tab >>On a Family of Trimodal Distributions
2014 (English)In: Communications in Statistics - Theory and Methods, ISSN 0361-0926, E-ISSN 1532-415X, Vol. 43, no 14, p. 2886-2896Article in journal (Refereed) Published
Abstract [en]

In this article, a family of trimodal distributions is presented. The distributional properties and some of the inferential aspects of this family of trimodal distributions are discussed. We propose a moment based estimator as well as a maximum likelihood estimator of the parameters. A numerical simulation is conducted to evaluate the finite sample performances of the proposed estimators. A real data example is analyzed for illustration.

Place, publisher, year, edition, pages
Taylor & Francis, 2014
Keywords
Trimodal distribution, Unbiased estimators, Moment estimators, Maximum likelihood estimators
National Category
Probability Theory and Statistics
Identifiers
urn:nbn:se:ltu:diva-90675 (URN)10.1080/03610926.2012.689067 (DOI)000337921400003 ()2-s2.0-84903472788 (Scopus ID)
Note

Funder: Scientific and Technology Foundation Funded Project of the Guizhou Province (grant no. [2012]2193); Introduced Talents Scientific Research Foundation Funded Project of Guizhou Minzu University; Key Laboratory of Pattern Recognition and Intelligent System of Construction Project of the Guizhou Province (grant no. [2009]4002); Information Processing and Pattern Recognition for Graduate Education Innovation Base of Guizhou Province; the National Science Foundation of China (grant no. 61263034).

Available from: 2022-05-18 Created: 2022-05-18 Last updated: 2022-05-18Bibliographically approved
Duan, H., Ma, R., Xu, X., Kong, F., Zhang, S., Kong, W., . . . Shang, L. (2009). Two-Decade Reconstruction of Algal Blooms in China’s Lake Taihu. Environmental Science and Technology, 43(10), 3522-3528
Open this publication in new window or tab >>Two-Decade Reconstruction of Algal Blooms in China’s Lake Taihu
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2009 (English)In: Environmental Science and Technology, ISSN 0013-936X, E-ISSN 1520-5851, Vol. 43, no 10, p. 3522-3528Article in journal (Refereed) Published
Abstract [en]

The algal blooming in the inland lakes has become a critically important issue for its impacts not only on local natural and social environments, but also on global human community. However, the occurrences of blooming on larger spatial scale and longer time scale have rarely been studied. As the third largest freshwater lake in China, Lake Taihu has drawn increasing attention from both public and scientific communities concerning its degradation. Using available satellite images, we reconstructed the spatial and temporal patterns of algal blooms in Lake Taihu through the past two decades. The blooming characteristics over the past two decades were examined with the dynamic of initial blooming date being highlighted. The initial blooming dates were gradually becoming later and later from 1987 to 1997. Since 1998, however, the initial blooming date came earlier and earlier year by year, with approximately 11.42 days advancement per year. From 1987 to 2007, the annual duration of algal blooms lengthened year by year, in line with the substantial increases in the occurrences of algal blooms in spring and summer months. The algal blooms usually occur in northern bays and spread to center and south parts of Lake Taihu. The increases in previous winter’s mean daily minimum temperature partially contributed to the earlier blooming onset. However, human activities, expressed as total gross domestic product (GDP) and population, outweighed the climatic contribution on the initial blooming date and blooming duration. This study may provide insights for the policy makers who try to curb the algal blooming and improve the water quality of inland freshwater lakes.

Place, publisher, year, edition, pages
American Chemical Society (ACS), 2009
National Category
Ecology
Identifiers
urn:nbn:se:ltu:diva-90677 (URN)10.1021/es8031852 (DOI)000266046700022 ()19544849 (PubMedID)2-s2.0-66249091589 (Scopus ID)
Note

Funder: Chinese Academy of Sciences (grant no. 07YJ011001); the National Natural Science Foundation of China (grant nos. 40801137, 40871168); National Key Technology R&D program (grant no. 2007BAC26B01); the Knowledge Innovation Program of the Chinese Academy of Sciences (grant no. CXNIGLAS200807); NASA Interdisciplinary Science Program (gran tno. NNG04GM39C); NASA Land Use and Land Cover Change Program (grant no. NNX08AL73G)

Available from: 2022-05-18 Created: 2022-05-18 Last updated: 2022-05-18Bibliographically approved
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