2021
In Jena: Week 43 (๊น€์น˜์ „ ๋ ˆ์‹œํ”ผ)
· โ˜• 1 min read · โœ๏ธ Hoontaek Lee
์ด๋ฒˆ ์ฃผ๋Š”… ์•„์›ƒ๋ผ์ธ - results: data and figure update ๊ฐ๊ธฐ - ๋ณ‘์›์— ๊ฐ”๋”๋‹ˆ 1์ฃผ์ผ ์ •๋„ ๋” ์žˆ์œผ๋ฉด ๋‚˜์„ ๊ฑฐ๋ž€๋‹ค. ์•ฝ๋„ ์•ˆ ์ง€์–ด์คŒ ใ…‹ ๋ถˆ์•ˆํ•˜๋ฉด ์•ฝ๊ตญ๊ฐ€์„œ ์‚ฌ ๋จน์–ด~ (์˜ณ์€ ํŒ๋‹จ

Paper Review: Syed (2008). GRACE_GLDAS. wr.
· โ˜• 1 min read · โœ๏ธ Hoontaek Lee
21 June, 2021 (Syed, wr, GRACE_GLDAS) Syed, T. H., Famiglietti, J. S., Rodell, M., Chen, J., and Wilson, C. R. (2008), Analysis of terrestrial water storage changes from GRACE and GLDAS, Water Resour. Res., 44, W02433, doi:10.1029/2006WR005779. Introduction This paper seemed like one of early TWS studies using the GRACE observation. I felt it as a classical one, so decided to read through, focusing on figures and the conclusion. Message: latitudinal dominant TWS component Dominant TWS pool Dominant TWS flux High latitudes Snow water equivalent Snowmelt-derived runoff Mid latitudes Soil moisture Evaporation Low latitudes Soil moisture Precipitation Their message can be summarized with this table.

In Jena: Week 42
· โ˜• 1 min read · โœ๏ธ Hoontaek Lee
์ด๋ฒˆ ์ฃผ๋Š”… ์•„์›ƒ๋ผ์ธ - ์ธํŠธ๋กœ+๋ถ„์„๋ฐฉ๋ฒ•+Tina ๋…ผ๋ฌธ+Basil ๋…ผ๋ฌธ: ๋‚ด๊ฐ€ ํ‹ฐ๋‚˜๋ž‘ ๋ฐ”์งˆ์ด ๋งŒ๋“  ๋ฐ์ดํ„ฐ๋ฅผ ์“ฐ๊ณ  ์žˆ์–ด์„œ ๊ฑ”๋„ค ๋…ผ๋ฌธ์„ ์ฝ์–ด๋ณด๋Š” ๊ฒŒ

In Jena: Week 41
· โ˜• 1 min read · โœ๏ธ Hoontaek Lee
์ด๋ฒˆ ์ฃผ๋Š”… ์•„์›ƒ๋ผ์ธ ์ฒซ ๋…ผ๋ฌธ ์•„์›ƒ๋ผ์ธ์„ ์žก๊ธฐ ์‹œ์ž‘ํ–ˆ๋‹ค. ์ปจํ…์ธ ๊ฐ€ ์™„์ „ํ•˜์ง€๋Š” ์•Š์ง€๋งŒ, ์ด ์ž‘์—…๋„ ๊ผญ ํ•„์š”ํ•˜๋‹ค. ํ•˜๊ณ  ๋‚˜๋ฉด ๋‚˜ํ•œํ…Œ ๋ญ๊ฐ€ ํ•„์š”ํ•œ ๋ถ„์„์ด ๋ญ”

In Jena: Week 40 (๋ผ์ดํ”„์น˜ํžˆ ๋™๋ฌผ์›)
· โ˜• 4 min read · โœ๏ธ Hoontaek Lee
์ด๋ฒˆ ์ฃผ๋Š”… Leipzig 2021. 06. 02. ์ˆ˜์š”์ผ Jasper’s S-talk. He extended his previous (?) study to get a preliminary (?) conclusion: water-limited, not energy-limited condition will dominate the future water cycle regime at the global scale. 2021. 6. 05. ํ† ์š”์ผ ์ค‘๊ตญ ์• ๋“ค์ด๋ž‘ Leipzig (๋ผ์ดํ”„์น˜ํžˆ) ๊ตฌ๊ฒฝ

In Jena: Week 39 (์œˆ์ ค๋ผ ๋ฐ”๋ฒ ํ)
· โ˜• 2 min read · โœ๏ธ Hoontaek Lee
์ด๋ฒˆ ์ฃผ๋Š”… Land carbon modeling training course by Northern Arizona Univ. ๋†๊ตฌ & ๋ฐ”๋ฒ ํ 2021. 05. 24~28. ์›”~๊ธˆ์š”์ผ Land carbon modeling training ๋‘ ๋ฒˆ ์งธ ์ฃผ๋‹ค. ์ ์šฉ ์‚ฌ๋ก€, PRODA framework, Neural network๊ฐ€ ํ† ํ”ฝ์ด๋‹ค. PRODA fra

In Jena: Week 38(CartoTrain, ๋…ธ๋ž€ ๊ฝƒ๋ฐญ)
· โ˜• 2 min read · โœ๏ธ Hoontaek Lee
์ด๋ฒˆ ์ฃผ๋Š”… Land carbon modeling training course by Northern Arizona Univ. ๋…ธ๋ž€ ๊ฝƒ๋ฐญ์œผ๋กœ ํ•˜์ดํ‚น 2021. 05. 17~21. ์›”~๊ธˆ์š”์ผ Land carbon modeling training์ด ์‹œ์ž‘๋๋‹ค. Northern Arizona University๋Š” ๋‚ด๊ฐ€

In Jena: Week 37 (์„ฑ๋‚จ์ง‘ ์ด์‚ฌ)
· โ˜• 1 min read · โœ๏ธ Hoontaek Lee
์ด๋ฒˆ ์ฃผ๋Š”… ํ•œ๊ตญ์ง‘ ์ด์‚ฌ 2021. 5. 15. ํ† ์š”์ผ ๊ฐ€์กฑ๋“ค์ด ์ด์‚ฌ๊ฐ”๋‹ค. ์ „์— ์‚ด๋˜ ์•„ํŒŒํŠธ ๋‹จ์ง€๋กœ. ๋ฆฌ๋ชจ๋ธ๋งํ•ด์„œ ๋“ค์–ด๊ฐ€๋Š” ๊ฑฐ๋ผ ๊ณต์‚ฌ ๊ธฐ๊ฐ„์„ ์ข€ ๊ฑฐ์ณค๋‹ค. ๊ฐ€๊ตฌ ๊ฐ€์ „์ด

In Jena: Week 36 (์—์–ดํ‘ธ๋ฅดํŠธ)
· โ˜• 2 min read · โœ๏ธ Hoontaek Lee
์ด๋ฒˆ ์ฃผ๋Š”… ์ƒˆ ๊ณต์ฑ… Erfurt 2021. 5. 7. ๊ธˆ์š”์ผ ์ƒˆ ์—ฐ๊ตฌ ๋…ธํŠธ๋ฅผ ๋œฏ์—ˆ๋‹ค. ๊นŒ๋‹ค๋กœ์šด ๋‚ด ์กฐ๊ฑด์„ ๋งŒ์กฑํ•œ ์ด ๊ณต์ฑ…์ด ํ•˜ํ•„ ๋…์ผ ์ œํ’ˆ์ด์–ด์„œ ์—ฌ๊ธฐ์„œ๋„ ์‰ฝ๊ฒŒ ๊ตฌํ•  ์ˆ˜ ์žˆ๋‹ค. ํ•„๊ธฐ

In Jena: Week 35
· โ˜• 2 min read · โœ๏ธ Hoontaek Lee
์ด๋ฒˆ ์ฃผ๋Š”… ๋‹ค๋ฅธ ๋‹จ๊ณ„ ๋ถ„์„ ์ง„ํ–‰ ์ค‘… ์—ฐ์–ด ์•„๋ณด์นด๋„ ๋กค ์ €๋…+๋ณด๋‚œ์ž 2021. 4. 20. ๊ธˆ์š”์ผ ์ง‘ ๊ทผ์ฒ˜ ์Šˆํผ ์œ„์ธต์— ์ผ์‹(?) ๋ฒ ํŠธ๋‚จ(?)&he

In Jena: Week 34
· โ˜• 2 min read · โœ๏ธ Hoontaek Lee
์ด๋ฒˆ ์ฃผ๋Š”… ๋‹ค๋ฅธ ๋‹จ๊ณ„ ๋ถ„์„ ์ง„ํ–‰ ์ค‘. Humphrey (2021) ๋…ผ๋ฌธ ์ฝ๊ณ  ์ƒ๊ฐ๋‚œ ์งˆ๋ฌธ๋“ค ๊ณต์œ  (1. a negative feedback closure, 2. SMC IAV with SMC-RE effect) ์ƒ์–ด ๋„์ฐฉ ํ•˜์ดํ‚น, ๋†๊ตฌ 2021. 4. 21. ์ˆ˜์š”์ผ ๋“œ๋””์–ด ์™”๋‹ค. ์ด

In Jena: Week 33
· โ˜• 2 min read · โœ๏ธ Hoontaek Lee
์ด๋ฒˆ ์ฃผ๋Š”… ๋“œ๋””์–ด ๋ญ”๊ฐ€ ๋์ด ๋ณด์ธ๋‹ค. ์• ์ดˆ์— ๋‚ด๊ฐ€ ์•Œ ์ˆ˜ ์—†๋˜ ํ•จ์ •์ด ์žˆ์—ˆ๋‹ค… ์•ž์œผ๋ก  ์ข€ ๋” ๋นจ๋ฆฌ ๋ฌผ์–ด๋ณด์ž. SAB meeting Lobdeburg ํ•˜์ดํ‚น 2021. 4. 12~13. ์›”~ํ™”

Paper Review: Vishwakarma (2021). the_TVR_metric. erl.
· โ˜• 2 min read · โœ๏ธ Hoontaek Lee
12 April, 2021 (Vishwakarma, erl, the_TVR_metric) Vishwakarma, B. D., Bates, P., Sneeuw, N., Westaway, R. M., & Bamber, J. L. (2021). Re-assessing global water storage trends from GRACE time series. Environmental Research Letters, 16(3), 034005. https://doi.org/10.1088/1748-9326/abd4a9 Message: the variability should be considered together with trend. The authors suggested to use a new metric, named trend to variability ratio (TVR), when evaluating the severity of the change in the terrestrial water storage observations from GRACE satellite.