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活有藏身之地:卡片机傻拍2018(153)

已有 2903 次阅读 2018-10-30 21:02 |系统分类:图片百科| 2018, 卡片机, 傻拍, 天津大学, 南开大学

活有藏身之地卡片机傻拍2018(153)

                                     

佳能卡片机SX170 IS试拍。感谢您的指教!压缩,未做其它调整。

拍摄于 2018-08-18 14:03 ~ 14:15 许,天津******。

活有藏身之地,比“死无葬身之地”可是强多了。

                     

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相关链接:

[1] 2018-08-18,和谐(自行车与植物)(1):卡片机傻拍2018(119)

http://blog.sciencenet.cn/blog-107667-1134161.html

[2] 2018-08-18,和谐(自行车与植物)(2):卡片机傻拍2018(124)

http://blog.sciencenet.cn/blog-107667-1135383.html

[3] 2018-09-18,和谐(自行车与植物)(1)一个月之后:卡片机傻拍2018(148)

http://blog.sciencenet.cn/blog-107667-1142567.html

[4] 2018-08-18,苹果树秋天又开花了!(秋花,二次花):卡片机傻拍2018(110)

http://blog.sciencenet.cn/blog-107667-1132206.html

[5] 2018-08-18,枣树的诡异(变异):卡片机傻拍2018(111)

http://blog.sciencenet.cn/blog-107667-1132360.html

[6] 2018-08-18,好大的一颗兔丝(1):卡片机傻拍2018(112)

http://blog.sciencenet.cn/blog-107667-1132533.html

[7] 2018-08-18,好大的一颗兔丝(2):卡片机傻拍2018(113)

http://blog.sciencenet.cn/blog-107667-1132810.html

              

感谢您的指教!

感谢您指正以上任何错误!



https://blog.sciencenet.cn/blog-107667-1143648.html

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7 郑永军 罗春元 张忆文 宁利中 李学宽 刘炜 栗茂腾

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IP: 202.113.11.*   闁搞儳鍋涢ˇ锟� | 閻犙嶆嫹 閻犙嶆嫹 +1 [10]闁哄鍔嶉婊堟偤閿燂拷   2023-7-20 19:37
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"...the dreams of a visionary mind to be closer to reality than the common sense judgment of  the realists." 闁挎冻鎷� Car-Gustaf Arvid Rossby
IP: 202.113.11.*   闁搞儳鍋涢ˇ锟� | 閻犙嶆嫹 閻犙嶆嫹 +1 [9]闁哄鍔嶉婊堟偤閿燂拷   2023-7-20 19:37
闁炽儲绮忕换娆戞喆娴hВ鍋撻崨顓滀粓闁煎瓨鍨抽懙鎴︽儍閸曨兘鍙洪柟顖濇珪閻︻噣鎮抽弶璺ㄦ澖濞戞捁顔婄粻鐔兼嚀閸涱垱鐣遍悽顖涚摃閻︽垿宕氶妶鍡樼劷闁哄洤鐡ㄧ敮瀛樻交閹寸姵鍩傞悗鍦亼閳ь剙鍊甸埀顒婃嫹 闁挎冻鎷� 缂傚啯顨嗛弻澶屾嫻閿燂拷

"...the dreams of a visionary mind to be closer to reality than the common sense judgment of  the realists." 闁挎冻鎷� Car-Gustaf Arvid Rossby
IP: 202.113.11.*   闁搞儳鍋涢ˇ锟� | 閻犙嶆嫹 閻犙嶆嫹 +1 [8]闁哄鍔嶉婊堟偤閿燂拷   2023-7-9 21:00
[1] 閻犙囨涧缁犲秶绮╅敓锟�, 婵炲苯鐗忛~鎰板嫉閿燂拷. 闁哄牜鍓涢~鏍掗弴姘辩懝闁汇垻鍠嶇粩瀛樻媴濠婂啫绲篘ature闁挎稑鐬肩€氼厾绮╃€n亞鏆氶柟杈炬嫹9闁瑰瓨鍔曟导鎰媴濠婂牆娅�. 缂佸鍨甸鐔虹磾閹搭垳绀�2023-07-08
https://news.sciencenet.cn/htmlnews/2023/7/504367.shtm

[2] Kaifeng Bi, Lingxi Xie, Hengheng Zhang, Xin Chen, Xiaotao Gu & Qi Tian. Accurate medium-range global weather forecasting with 3D neural networks [J]. Nature, 2023-07-05
doi:  10.1038/s41586-023-06185-3
https://www.nature.com/articles/s41586-023-06185-3

[3] Kaifeng Bi, Lingxi Xie, Hengheng Zhang, Xin Chen, Xiaotao Gu, Qi Tian. Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast. 2022-11-03
doi:  10.48550/arXiv.2211.02556
https://arxiv.org/abs/2211.02556

[4] 閻犲鍨归崳鐑藉即閿燂拷​闁挎冻鎷�2023-07-06闁挎稑鐬煎▍銉︾▔婵傛矘ture婵繐绲介崹鏃堝Υ娴h鍎屾繛鎻掑级閻ㄧ數鎸掗垾鑼跺幀闊洤鍟抽崕妤佺▕閿旇 鍋撴担鎴掓唉闂佹彃绻掓鍥棘鐟欏嫷鏀抽柛娆愬灥缁旂兘鏁嶅杈ㄧ8闁告瑣鍊栭惃鐢垫寬閳ョ偨浜f俊顖椻偓宕団偓鐑藉触鎼达絿鏁鹃弶鈺傜☉閻秶绱掗懝鏉跨墯
https://zhuanlan.zhihu.com/p/641851617

[5] 閻犲鍨归崳鐑藉即閿燂拷​闁挎冻鎷�2022-11-10闁挎稑鑻畷鏇熺▔鏉炴壆闅橀柟缁樺姇閸ゎ參鎯勫Ο鍝勭稊婵ɑ妫侀挅鍕緞瑜庤啯闁搞劌顑戠槐鐗堢▔椤撱垺姣愰柡鍫㈠枑閻ㄧ數鎸掗敓鐙€鏆曢柟韬插劤缁ㄦ寧鎯旈敃鍌ゆ禃婵炲枴銈囆㈤弶鈺佹矗缁卞墎绱掗悢鍛婃闁稿﹤鍚嬮弻鐔封枖閺囶亞绀夐梺顐ゅ枎鐎规娊骞撻幇顒€纾�10000闁稿﹤绉虫禍鎺撶▔閿燂拷
https://zhuanlan.zhihu.com/p/582285853
IP: 202.113.11.*   闁搞儳鍋涢ˇ锟� | 閻犙嶆嫹 閻犙嶆嫹 +1 [7]闁哄鍔嶉婊堟偤閿燂拷   2023-7-7 17:08
Home
Verification of the high-resolution (HRES) forecast of surface parameters
Overview

https://charts.ecmwf.int/products/plwww_m_hr_wp_ts/overview/parameter?parameter=2m%20temperature

https://charts.ecmwf.int/products/plwww_m_hr_wp_ts?parameter=10m%20wind%20speed&player_dimension=parameter

10m wind speed

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Charts catalogue

https://charts.ecmwf.int/?facets=%7B%22Range%22%3A%5B%5D%2C%22Type%22%3A%5B%22Verification%22%5D%7D
IP: 202.113.11.*   闁搞儳鍋涢ˇ锟� | 閻犙嶆嫹 閻犙嶆嫹 +1 [6]闁哄鍔嶉婊堟偤閿燂拷   2022-7-18 22:05
ECMWF
  
European Centre for Medium-Range Weather Forecast
  
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IP: 202.113.11.*   闁搞儳鍋涢ˇ锟� | 閻犙嶆嫹 閻犙嶆嫹 +1 [5]闁哄鍔嶉婊堟偤閿燂拷   2022-2-25 22:56
Verification of the high-resolution forecast of surface parameters
Verification of high-resolution forecasts
  
https://apps.ecmwf.int/webapps/opencharts/products/plwww_m_hr_wp_ts?parameter=10m%20wind%20direction


10 m wind direction
IP: 202.113.11.*   闁搞儳鍋涢ˇ锟� | 閻犙嶆嫹 閻犙嶆嫹 +1 [4]闁哄鍔嶉婊堟偤閿燂拷   2021-7-29 17:38
Verification of the high-resolution forecast of surface parameters

Verification of the high-resolution forecast of surface parameters
Verification of high-resolution forecasts
  
Verification of the high-resolution forecast of surface parameters against SYNOP observations.
© European Centre for Medium-Range Weather Forecasts

https://apps.ecmwf.int/webapps/opencharts/products/plwww_m_hr_wp_ts?parameter=10m%20wind%20speed
IP: 220.160.125.*   闁搞儳鍋涢ˇ锟� | 閻犙嶆嫹 閻犙嶆嫹 +1 [3]鐎殿喚濮寸换鍌炲棘閿燂拷   2018-7-24 10:49
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2018-7-24 16:361 婵°倗銆嬬槐娆撳炊閻愬樊妲绘俊銈夋?鐎靛矂鏁嶉敓锟� 閻犙嶆嫹 閻犙嶆嫹 +1 | 闁搞儳鍋涢ˇ锟�
IP: 202.113.11.*   闁搞儳鍋涢ˇ锟� | 閻犙嶆嫹 閻犙嶆嫹 +1 [2]闁哄鍔嶉婊堟偤閿燂拷   2018-7-23 23:57
Next, both models differ in availability.  GFS runs 4 times a day, ECMWF runs twice a day.  This means GFS has the opportunity to recover from bad forecasts (say, due to bad input data) by producing more per day.  ECMWF generally outperforms GFS, but if one of the forecast runs was bad, you've got to wait longer for new data.  The reason for the difference in availability is due to the time it takes to compute the model.  Nonhydrostatic models are more computationally expensive, which is why ECMWF is the only global nonhydrostatic model used for operation meteorology.

GFS is free, ECMWF is not. You can get the latest GFS runs for free from NCEP (http://www.ncep.noaa.gov/).  You can even download the model and run it on your home super computer if you are so inclined (http://www.nco.ncep.noaa.gov/pmb...).  To get ECMWF data, you typically need to be affiliated with some organization that pays for it.

Both models produce different products. You will probably be able to get the typic...
IP: 202.113.11.*   闁搞儳鍋涢ˇ锟� | 閻犙嶆嫹 閻犙嶆嫹 +1 [1]闁哄鍔嶉婊堟偤閿燂拷   2018-7-23 23:56
What is the difference between the ECMWF, GFS, and other weather forecasting models?
https://www.quora.com/What-is-the-difference-between-the-ECMWF-GFS-and-other-weather-forecasting-models
   
here's a lot of differences between numerical models, so I'll just (briefly) mention the differences between GFS and ECMWF.
  
First both are global models, meaning they produce a forecast for the entire world.  There are also regional models like MM5, NAM, and WRF that produce forecasts specific to a region at a high resolution (I'll talk about resolution later).  Regional models tend to seed their forecasts from global models; GFS provides context for MM5.  I'm not sure what regional models use ECMWF, but I'm sure there are quite a few.
  
GFS and ECMWF use different equations for predicting atmospheric conditions.  GFS is a hydrostatic model and ECMWF is nonhydrostatic.  Hydrostatic models use pressure as vertical coordinates in the forecast (e.g. make forecasts at specific isobars) and ess...

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