The SARAO MeerKAT 1.3 GHz Galactic Plane Survey

Autor: Goedhart, S., Cotton, W. D., Camilo, F., Thompson, M. A., Umana, G., Bietenholz, M., Woudt, P. A., Anderson, L. D., Bordiu, C., Buckley, D. A. H., Buemi, C. S., Bufano, F., Cavallaro, F., Chen, H., Chibueze, J. O., Egbo, D., Frank, B. S., Hoare, M. G., Ingallinera, A., Irabor, T., Kraan-Korteweg, R. C., Kurapati, S., Leto, P., Loru, S., Mutale, M., Obonyo, W. O., Plavin, A., Rajohnson, S. H. A., Rigby, A., Riggi, S., Seidu, M., Serra, P., Smart, B. M., Stappers, B. W., Steyn, N., Surnis, M., Trigilio, C., Williams, G. M., Abbott, T. D., Adam, R. M., Asad, K. M. B., Baloyi, T., Bauermeister, E. F., Bennet, T. G. H., Bester, H., Botha, A. G., Brederode, L. R. S., Buchner, S., Burger, J. P., Cheetham, T., Cloete, K., de Villiers, M. S., de Villiers, D. I. L., Toit, L. J. du, Esterhuyse, S. W. P., Fanaroff, B. L., Fourie, D. J., Gamatham, R. R. G., Gatsi, T. G., Geyer, M., Gouws, M., Gumede, S. C., Heywood, I., Hokwana, A., Hoosen, S. W., Horn, D. M., Horrell, L. M. G., Hugo, B. V., Isaacson, A. I., Józsa, G. I. G., Jonas, J. L., Jordaan, J. D. B. L., Joubert, A. F., Julie, R. P. M., Kapp, F. B., Kriek, N., Kriel, H., Krishnan, V. K., Kusel, T. W., Legodi, L. S., Lehmensiek, R., Lord, R. T., Macfarlane, P. S., Magnus, L. G., Magozore, C., Main, J. P. L., Malan, J. A., Manley, J. R., Marais, S. J., Maree, M. D. J., Martens, A., Maruping, P., McAlpine, K., Merry, B. C., Mgodeli, M., Millenaar, R. P., Mokone, O. J., Monama, T. E., New, W. S., Ngcebetsha, B., Ngoasheng, K. J., Nicolson, G. D., Ockards, M. T., Oozeer, N., Passmoor, S. S., Patel, A. A., Peens-Hough, A., Perkins, S. J., Ramaila, A. J. T., Ratcliffe, S. M., Renil, R., Richter, L. L., Salie, S., Sambu, N., Schollar, C. T. G., Schwardt, L. C., Schwartz, R. L., Serylak, M., Siebrits, R., Sirothia, S. K., Slabber, M. J., Smirnov, O. M., Tiplady, A. J., van Balla, T. J., van der Byl, A., Van Tonder, V., Venter, A. J., Venter, M., Welz, M. G., Williams, L. P.

We present the SARAO MeerKAT Galactic Plane Survey (SMGPS), a 1.3 GHz continuum survey of almost half of the Galactic Plane (251\deg $\le l \le$ 358\deg and 2\deg $\le l \le$ 61\deg at $|b| \le 1.5\deg $). SMGPS is the largest, most sensitive and hig

Externí odkaz: http://arxiv.org/abs/2312.07275

A consistent ocean oxygen profile dataset with new quality control and bias assessment

Autor: V. Gouretski, L. Cheng, J. Du, X. Xing, F. Chai, Z. Tan

Publikováno v: Earth System Science Data, Vol 16, Pp 5503-5530 (2024)

Global ocean oxygen concentrations have declined in the past decades, posing threats to marine life and human society. High-quality and bias-free observations are crucial to understanding ocean oxygen changes and assessing their impact. Here, we prop

Externí odkaz: https://doaj.org/article/6862a060389e48e1b156e665ab04e1bc

Analysis of the Spatial Pattern and Driving Forces of Linpan in Western Sichuan

Autor: J. Du, X. Zhou, G. Li, H. Zhou, S. Tao, W. Su, Y. Gao

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-4-2024, Pp 169-176 (2024)

This study aims to explore the landscape pattern and its driving forces of Linpan in western Sichuan, aiming to gain a deeper understanding of the spatial distribution of this unique rural settlement form. The landscape indices and redundancy analysi

Externí odkaz: https://doaj.org/article/40f1c4d6f3f94520893b951044554dd9

IAPv4 ocean temperature and ocean heat content gridded dataset

Autor: L. Cheng, Y. Pan, Z. Tan, H. Zheng, Y. Zhu, W. Wei, J. Du, H. Yuan, G. Li, H. Ye, V. Gouretski, Y. Li, K. E. Trenberth, J. Abraham, Y. Jin, F. Reseghetti, X. Lin, B. Zhang, G. Chen, M. E. Mann, J. Zhu

Publikováno v: Earth System Science Data, Vol 16, Pp 3517-3546 (2024)

Ocean observational gridded products are vital for climate monitoring, ocean and climate research, model evaluation, and supporting climate mitigation and adaptation measures. This paper describes the 4th version of the Institute of Atmospheric Physi

Externí odkaz: https://doaj.org/article/e16b8168327b411fb99dd6775a0e16b9

Enhanced Satellite Monitoring of Dryland Vegetation Water Potential Through Multi‐Source Sensor Fusion

Autor: J. Du, J. S. Kimball, J. S. Guo, S. A. Kannenberg, W. K. Smith, A. Feldman, A. Endsley

Publikováno v: Geophysical Research Letters, Vol 51, Iss 21, Pp n/a-n/a (2024)

Abstract Drylands are critical in regulating global carbon sequestration, but the resiliency of these semi‐arid shrub, grassland and forest systems is under threat from global warming and intensifying water stress. We used synergistic satellite opt

Externí odkaz: https://doaj.org/article/009d9d1fed3a4d9d8ae6bdb2e38af2e4