# data[].attributes.headline
Just to clarify, May 25 is Progress Update and NOT yet the actual thesis defense? 

# data[].attributes.subject
Just to clarify, May 25 is Progress Update and NOT yet the actual thesis defense? 

# data[].attributes.headline
include slide for methodology described (to get summary: cases of interest)

# data[].attributes.subject
include slide for methodology described (to get summary: cases of interest)

# data[].attributes.body
In domain? based on TC center?

# data[].attributes.headline
you can use grayscale for the topography color bar

# data[].attributes.subject
you can use grayscale for the topography color bar

# data[].attributes.body
the red triangles are not clear

# data[].attributes.headline
please explain again counts & triangle sizes :)

# data[].attributes.subject
please explain again counts & triangle sizes :)

# data[].attributes.headline
are you using daily rainfall? have you considered the "timing" of TRMM data? -faye

# data[].attributes.subject
are you using daily rainfall? have you considered the "timing" of TRMM data? -faye

# data[].attributes.body
sa wednesday meetng na lang ako magcomment --Lyndz

# data[].attributes.body
definitions dapat mauna..how do you define extremes...before ung landcover/landuse--anyway..let us discuss on wednesday.

See below diagram for UHI.
https://www.annualreviews.org/doi/full/10.1146/annurev-environ-012320-083623

# data[].attributes.body
example: Land Use Map of Metro Manila as of 2018 (Land use extraction courtesy of Flordeliza del Castillo, Geomatics for Environment & Development (GED) , MO)

# data[].attributes.headline
you can make your own schematic diagram or adapt one if the example in the paper is lacking or has too much info

# data[].attributes.subject
you can make your own schematic diagram or adapt one if the example in the paper is lacking or has too much info

# data[].attributes.body
may I see the slide on objective(s) again? just want to check your study area (MM or urban areas in the PH?)

# data[].attributes.body
may differences na po ba yung LU classification ng available stations?

# data[].attributes.headline
Clarification: For Wind power density - which variable did you bias correct - wpd or ws ?

# data[].attributes.subject
Clarification: For Wind power density - which variable did you bias correct - wpd or ws ?

# data[].attributes.headline
what's the implication in the difference between bias correcting per component versus wind speed ?

# data[].attributes.subject
what's the implication in the difference between bias correcting per component versus wind speed ?

# data[].attributes.body
do you have the statistics on the areas with sign changes?

# data[].attributes.headline
On Malasugi OS: since CentOS discontinued support, papalitan din ba OS ni Malasugi?

# data[].attributes.subject
On Malasugi OS: since CentOS discontinued support, papalitan din ba OS ni Malasugi?