Remote Sensing of Water-Related Hazards. Группа авторов

Чтение книги онлайн.

СКАЧАТЬ capture rainstorms and guide flood warning for the 2016 summer in south China? IEEE Geoscience and Remote Sensing Letters, 14(8), 1208–1212. https://doi.org/10.1109/lgrs.2017.2702137

      33 Tang, G., Clark, M. P., Papalexiou, S. M., Ma, Z., & Hong, Y. (2020). Have satellite precipitation products improved over last two decades? A comprehensive comparison of GPM IMERG with nine satellite and reanalysis datasets. Remote Sensing of Environment, 240, 111697. https://doi.org/10.1016/j.rse.2020.111697

      34 Trenberth, K. E., Dai, A., Rasmussen, R. M., & Parsons, D. B. (2003). The changing character of precipitation. Bulletin of the American Meteorological Society, 84(9), 1205–1218. https://doi.org/10.1175/BAMS‐84‐9‐1205

      35 Vionnet, V., Fortin, V., Gaborit, E., Roy, G., Abrahamowicz, M., Gasset, N., & Pomeroy, J. W. (2019). High‐resolution hydrometeorological modelling of the June 2013 flood in southern Alberta, Canada. Hydrology and Earth System Sciences Discussions, 1–36. https://doi.org/10.5194/hess‐2019‐152

      36 Wang, C., Tang, G., Han, Z., Guo, X., & Hong, Y. (2018). Global intercomparison and regional evaluation of GPM IMERG Version‐03, Version‐04 and its latest Version‐05 precipitation products: Similarity, difference and improvements. Journal of Hydrology, 564, 342–356. https://doi.org/10.1016/j.jhydrol.2018.06.064

      37 Yang, D., Kane, D., Zhang, Z., Legates, D., & Goodison, B. (2005). Bias corrections of long‐term (1973‐2004) daily precipitation data over the northern regions. Geophysical Research Letters, 32(19). https://doi.org/10.1029/2005gl024057

      38 Yong, B., Ren, L., Hong, Y., Gourley, J. J., Tian, Y., Huffman, G. J., et al. (2013). First evaluation of the climatological calibration algorithm in the real‐time TMPA precipitation estimates over two basins at high and low latitudes. Water Resources Research, 49(5), 2461–2472. https://doi.org/10.1002/wrcr.20246

      39 Zeng, Z., Tang, G., Hong, Y., Zeng, C., & Yang, Y. (2017). Development of an NRCS curve number global dataset using the latest geospatial remote sensing data for worldwide hydrologic applications. Remote Sensing Letters, 8(6), 528–536. https://doi.org/10.1080/2150704x.2017.1297544

      40 Zhang, Y., Hong, Y., Wang, X., Gourley, J. J., Xue, X., Saharia, M., et al. (2015). Hydrometeorological analysis and remote sensing of extremes: Was the July 2012 Beijing flood event detectable and predictable by global satellite observing and global weather modeling systems? Journal of Hydrometeorology, 16(1), 381–395. https://doi.org/10.1175/jhm‐d‐14‐0048.1

      Конец ознакомительного фрагмента.

      Текст предоставлен ООО «ЛитРес».

      Прочитайте эту книгу целиком, купив полную легальную версию на ЛитРес.

      Безопасно оплатить книгу можно банковской картой Visa, MasterCard, Maestro, со счета мобильного телефона, с платежного терминала, в салоне МТС или Связной, через PayPal, WebMoney, Яндекс.Деньги, QIWI Кошелек, бонусными картами или другим удобным Вам способом.

/9j/4AAQSkZJRgABAQEBLAEsAAD/7R+cUGhvdG9zaG9wIDMuMAA4QklNBAQAAAAAAAccAgAAAgAA ADhCSU0EJQAAAAAAEOjxXPMvwRihontnrcVk1bo4QklNBDoAAAAAAPcAAAAQAAAAAQAAAAAAC3By aW50T3V0cHV0AAAABQAAAABQc3RTYm9vbAEAAAAASW50ZWVudW0AAAAASW50ZQAAAABDbHJtAAAA D3ByaW50U2l4dGVlbkJpdGJvb2wAAAAAC3ByaW50ZXJOYW1lVEVYVAAAAAoAQQBkAG8AYgBlACAA UABEAEYAAAAAAA9wcmludFByb29mU2V0dXBPYmpjAAAADABQAHIAbwBvAGYAIABTAGUAdAB1AHAA AAAAAApwcm9vZlNldHVwAAAAAQAAAABCbHRuZW51bQAAAAxidWlsdGluUHJvb2YAAAAJcHJvb2ZD TVlLADhCSU0EOwAAAAACLQAAABAAAAABAAAAAAAScHJpbnRPdXRwdXRPcHRpb25zAAAAFwAAAABD cHRuYm9vbAAAAAAAQ2xicmJvb2wAAAAAAFJnc01ib29sAAAAAABDcm5DYm9vbAAAAAAAQ250Q2Jv b2wAAAAAAExibHNib29sAAAAAABOZ3R2Ym9vbAAAAAAARW1sRGJvb2wAAAAAAEludHJib29sAAAA AABCY2tnT2JqYwAAAAEAAAAAAABSR0JDAAAAAwAAAABSZCAgZG91YkBv4AAAAAAAAAAAAEdybiBk b3ViQG/gAAAAAAAAAAAAQmwgIGRvdWJAb+AAAAAAAAAAAABCcmRUVW50RiNSbHQAAAAAAAAAAAAA AABCbGQgVW50RiNSbHQAAAAAAAAAAAAAAABSc2x0VW50RiNQeGxAcsAAAAAAAAAAAAp2ZWN0b3JE YXRhYm9vbAEAAAAAUGdQc2VudW0AAAAAUGdQcwAAAABQZ1BDAAAAAExlZnRVbnRGI1JsdAAAAAAA AAAAAAAAAFRvcCBVbnRGI1JsdAAAAAAAAAAAAAAAAFNjbCBVbnRGI1ByY0BZAAAAAAAAAAAAEGNy b3BXaGVuUHJpbnRpbmdib29sAAAAAA5jcm9wUmVjdEJvdHRvbWxvbmcAAAAAAAAADGNyb3BSZWN0 TGVmdGxvbmcAAAAAAAAADWNyb3BSZWN0UmlnaHRsb25nAAAAAAAAAAtjcm9wUmVjdFRvcGxvbmcA AAAAADhCSU0D7QAAAAAAEAEsAAAAAQACASwAAAABAAI4QklNBCYAAAAAAA4AAAAAAAAAAAAAP4AA ADhCSU0EDQAAAAAABAAAAFo4QklNBBkAAAAAAAQAAAAeOEJJTQPzAAAAAAAJAAAAAAAAAAABADhC SU0nEAAAAAAACgABAAAAAAAAAAI4QklNA/UAAAAAAEgAL2ZmAAEAbGZmAAYAAAAAAAEAL2ZmAAEA oZmaAAYAAAAAAAEAMgAAAAEAWgAAAAYAAAAAAAEANQAAAAEALQAAAAYAAAAAAAE4QklNA/gAAAAA AHAAAP////////////////////////////8D6AAAAAD/////////////////////////////A+gA AAAA/////////////////////////////wPoAAAAAP////////////////////////////8D6AAA OEJJTQQIAAAAAAAQAAAAAQAAAkAAAAJAAAAAADhCSU0EHgAAAAAABAAAAAA4QklNBBoAAAAAA08A AAAGAAAAAAAAAAAAAA0KAAAKQQAAAA0AOQA3ADgAMQAxADEAOQAxADUAOQAxADIANAAAAAEAAAAA AAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAAAAAKQQAADQoAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAAA AAAAAAAAAAAAAAAQAAAAA

СКАЧАТЬ