| 6bb2ebc4a25567c6c3315737247e7025.jpg | 2560*1920 | SSP245: [same with SSP585]
- map projection: 3-figure
LM, obs + sim (6 figures in one panel)
10th, obs + sim (6 figures) one panel
90th, obs + sim (6 figures) one panel
- time series 1-figure [can combine trends]
LM, obs + sim, with error bar (1 figure)
10th, ... (1 figure)
90th, ... (1 figure)
- pointrange (point with error bar) 2-figure
one-sample, each contain 1 scaling factor, each sf contain occ&comens.
two-sample...
- barplot 1-figure
attributable change [3 figure]
10th + LM + 90th, sprues
each contain: obs, all, ghg, nat. aer. | 手写 | 英语 | 中等 | 主要为黑色,部分红色 | 存在图形 | 左对齐 | 清晰 | 中等 |
| 50e1a3f21f27e0fee44e4b7ddcd32857.jpg | 1920*1440 | Attribution in Optimal Fingerprinting
Dataset: OCCL, CMEMS, CESM2, CTL
method TLS
trend estimates of above
two datasets
Global OF
Regional OF
method - c2 methods
single, two-sample
main figure
global
bot
clearly the
messages
SA
TS
MS
MP
IF
summary
OBS
attribution
1-, 2-, 3- signals
1-, 2-, 3- signals
9th quantile
botht Quantile
90th quantile
both
1*30
0.2
obs
(feb)
TLS
EXAMPLES:
1. Maps
obs + S
2. time series
sim
global
MP
CM3
TS
MS
reg
CMS
IP
TT
Boxplots, etc. | 手写 | 英语 | 中等 | 黑色和红色文字分布 | 存在 | 左对齐 | 清晰 | 中等密集 |
| b3cd1e37bb2548682c96d90761bde58f.jpg | 1920*1440 | dynamic improve uncertainty statistical matrix fitted with OC classes trend/CTL concentration R² RMSE spearmen pearson optical average CHL trends CHL class | 手写 | 英语 | 中等 | 主要为黑色 | 存在多个图形和表格 | 不规则,没有特定对齐方式 | 背景清晰,有少量反光 | 高 |