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Earth Sciences
United States
เข้าร่วมเมื่อ 21 ก.ย. 2020
Global climate models for projecting red tides in Florida
Global climate models for projecting red tides in Florida
มุมมอง: 206
วีดีโอ
ESM01.2 A case study of sea surface height Loop Current and red tide in Florida
มุมมอง 2213 ปีที่แล้ว
ESM01.2 A case study of sea surface height Loop Current and red tide in Florida
Sea surface height above geoid: AVISO altimetry data versus ESM simulations of Loop Current
มุมมอง 2243 ปีที่แล้ว
Sea surface height above geoid: AVISO altimetry data versus ESM simulations of Loop Current
AVISO satellite data of sea surface height at the Gulf of Mexico from 1993 to 2015
มุมมอง 2093 ปีที่แล้ว
AVISO satellite data of sea surface height at the Gulf of Mexico from 1993 to 2015
ESM02.5 CMIP6 data download using python for a multi-model ensemble
มุมมอง 1.9K4 ปีที่แล้ว
ESM02.5 CMIP6 data download using python for a multi-model ensemble
ESM.2.6 Panoply for qucik netCDF data access and visualization
มุมมอง 4.3K4 ปีที่แล้ว
ESM.2.6 Panoply for qucik netCDF data access and visualization
ESM02.4 CMIP6 data download using python for a single-model ensemble
มุมมอง 1.5K4 ปีที่แล้ว
ESM02.4 CMIP6 data download using python for a single-model ensemble
ESM2.3 CMIP6 data download using python for a single model
มุมมอง 4.3K4 ปีที่แล้ว
ESM2.3 CMIP6 data download using python for a single model
ESM2.1 CMIP6 data search on ESGF, CEDA, and PRIMAVERA
มุมมอง 7614 ปีที่แล้ว
ESM2.1 CMIP6 data search on ESGF, CEDA, and PRIMAVERA
ESM2.2 Installing Anaconda, Python, Jupyter Notebook, Jupyter Lab and Spyder on Windows 10
มุมมอง 3134 ปีที่แล้ว
ESM2.2 Installing Anaconda, Python, Jupyter Notebook, Jupyter Lab and Spyder on Windows 10
ESM1.1. Using an Earth system model (ESM): A Short Introduction
มุมมอง 9094 ปีที่แล้ว
ESM1.1. Using an Earth system model (ESM): A Short Introduction
This is a highly relevant and essential topic. The FAIR principles support data-driven research, promote collaboration, enhance research transparency and reusability, and align with the increasing demand for open, accessible, and sustainable science.
for a beginner it is quite useful, thanks man
Good day! Thank you very much for your video. It was very insightful and helpful. I would like to ask how you were able to process the datasets focusing on a particular area.
To crop the data to a specific area I used nco software (nco.sourceforge.net/)
Thank you very much@@Earth_Sciences
You are welcome. You can also use Python Xarray something like `.sel`
how i open shape file i it
Awesome clarification, thanks for sharing.
super
Thanks for the tutorial very helpful. The problem when I try to convert json to csv I don't get a well organized table like yours. I can not use it. Which options in json2csv software should we select please ?
You should choose this option while converting to excel from json "Pivot data down instead of flattening " under output options.
It's not working again. Its giving me "responseHeader" as the first item in the columns instead of id and none of the actual stuff I need is coming out. Literally 98 rows of responseHeader with "QTime params/facet.field/0 params/df params/q.alt params/indent params/echoParams params/fl params/start params/fq/0 params/rows" as some of the first several column names@@praveenvk6923Any ideas?
esgf-node.llnl.gov/esg-search/search/?offset=0&limit=100&type=Dataset&replica=false&latest=true&nominal_resolution=10+km%2C25+km&experiment_id=hist-1950&variable_id=zos&project=CMIP6&facets=mip_era%2Cactivity_id%2Cproduct%2Csource_id%2Cinstitution_id%2Csource_type%2Cnominal_resolution%2Cexperiment_id%2Csub_experiment_id%2Cvariant_label%2Cgrid_label%2Ctable_id%2Cfrequency%2Crealm%2Cvariable_id%2Ccf_standard_name%2Cdata_node&format=application%2Fsolr%2Bjson here's my json link if it helps
SIR PLS HELP ME TO SOLVE THIS PROBLEM
# #Download from node='esgf-data1.llnl.gov/thredds/fileServer/css03_data/' mdir='CMIP6/HighResMIP/EC-Earth-Consortium/EC-Earth3P/hist-1950/r2i1p2f1/Omon/zos/gn/v20190812/' #Download to path=r'C:/Users/admin/Desktop/anaconda' Path(path).mkdir(parents=True, exist_ok=True) #Loop for all files for year in range(1990,1991): file='zos_Omon_EC-Earth3P_hist-1950_r2i1p2f1_gn_{}01-{}12.nc'.format(str(year),str(year)) #path to download from and to dwf=node+mdir+file dwt=path+file print(dwf); print(dwt) #start timer start = time.time() #Download file wget.download(dwf,dwt) #stop timer print(' '+'Download time: {:.1f} sec'.format(time.time() - start)) FileNotFoundError: [Errno 2] No such file or directory: '\\\\wsl$/Ubuntu/home/aelshall/NCO/Gmap/zos/EC-Earth3P/hist-1950/zos_Omon_EC-Earth3P_hist-1950_r2i1p2f1_gn_199001-199012.nc1ersta5k.tmp' SIR PLS HELP ME TO SOLVE THIS PROBLEM
wget. is not working in my case
👏👏👏👏
Thank you so much!!
Excellent work and great respect!!!
Thank you so much, You did great!!!
Thank you so much
This is a great work I have search for. Thanks
very nicely explained. Thanks for all your efforts
Thank you so much for this video <3
Sir, while i Open the. Nc data folder kept in documents, why panoply doesn't take that files, it seems to be emptied
Thanks for your excellent tutorial. Could you help me how to download multi ensemble model for daily precipitation?
Best video ever I saw for Panoply. Cheers!!!!
Hallo! may I ask how to show up the scale bar?? Thankyouu
Many thanks for your efforts. Invaluable!