(i) Before submitting a request to HPC, please carefully check your codes as far as possible
(ii) Always write high-efficient codes as some functions take lots of computation time
(iii) Always make a backup of codes and data
(iv) Add detailed comments to your codes and create a package of codes that work for processing data (e.g., using GDAL+Python to read GeoTiff files)
You can find the NCL script and Netcdfiles by clicking here
https://www.youtube.com/watch?v=wzSu-343b-0&list=PLJ_1sjucSSZCTNBRM4D3BfEak-XT7TKJo
https://www2.mmm.ucar.edu/wrf/OnLineTutorial/compilation_tutorial.php#STEP2"
(i) "Climate Change and Terrestrial Ecosystem Modeling"
(i) "Ecological Climatology: Concepts and Applications"
After reading two books written by Gordon Bonan with 3 weeks, I have built a big picture of Ecological Climatology and Terrestrial Ecosystem Modeling. Meanwhile, I find that domain knowledge is extremely important when we investigate the land-atmosphere interactions with data-model synthesis approaches. Bonan introduces basic concepts and models of Terrestrial Biosphere Models, Energy and Mass Transfer, leaf temperature, and so on. In these two books, we can find so many mathematical formulas and theories.I felt so happy to talk to them.
MALS data of forest scenarios
(i) The ablity to discover problems
(ii) The ablity to solve problems
(iii) The ablity to independently conduct research
(iv) The ablity to present research results in oral and writing forms
(v) The ablity to undertake the due obligations
I'm writing another article the involves information transformation from images to maps, trying out distill.
It is so excited to read such books. We are now able to answer some of Big Questions, for instance, phenological respones to climate change over various tree species.
Fascinated by the nature of beauty and the happiness of conducting scientific research, I decided to do ecological research with the focus on vegetation phenology and carbon dioxide cycle. I started to consider what I should do and what I can do . I believed that I should first select an excellent supervisor that suits my research interests. Meanwhile, I started to read review articles about phenology that are publised in Nature, Science, PNAS, Global Change Biology, New Phytologist and so on. Reading those articles, I learned the ways of thinking, research, and writing from the side of ecology. More importantly, I considered the potential research topics on vegetation phenology with my rich experience in remotele sensed data processing (Note that remote sensing is always used as a tool for ecological research.) At this moment, I got to know what difficulties I may confront and what solutions I should propose, since I do not have a background in Ecology.
(i) Reading excellent articles, I will have a look at the article structure, writing style, sentences, plots and charts.
(ii) Following up classical articles from my favorite outstanding scholars,e.g., Peter Huybers at Harvard University, James Clark at Duke University, Geoffrey Hinton at Univ of Toronto, I tried my best to "imitate" them.
(iii)Sending papers to my supervisor for the first-round review. If the supervisor reject my articles, why should we send them to journals?
(iv) Do writing daily
(v) Warming notes:Never try to "please" reviewers and just do yourself
Year 2022 is so tough