Mudanças Climáticas e Anomalias de Precipitação no Nordeste Brasileiro: Monitoramento e Projeções CMIP6 via Google Earth Engine.
Authors/Creators
Description
[PT] Este dataset apresenta o diagnóstico hidroclimático histórico (1991-2025) e projeções de curto prazo (2026-2040) para o Nordeste Brasileiro (NEB). Utiliza um ensemble de cinco modelos do CMIP6 (HadGEM3, ACCESS-ESM, MPI-ESM, MRI-ESM e EC-Earth3) sob os cenários SSP2-4.5 e SSP5-8.5. Inclui scripts em Python/GEE para análise de anomalias térmicas e pluviométricas, diagramas de deslocamento de nicho climático e boxplots sazonais para todos os estados da região.
[EN] This dataset provides the historical hydroclimatic diagnosis (1991-2025) and short-term projections (2026-2040) for Northeast Brazil (NEB). It employs an ensemble of five CMIP6 models (HadGEM3, ACCESS-ESM, MPI-ESM, MRI-ESM, and EC-Earth3) under SSP2-4.5 and SSP5-8.5 scenarios. It includes Python/GEE scripts for thermal and rainfall anomaly analysis, climate niche shift diagrams, and seasonal boxplots for all states in the region.
[ZH] 该数据集提供了巴西东北部 (NEB) 的历史水文气候诊断 (1991-2025) 和短期预测 (2026-2040)。它采用了 SSP2-4.5 和 SSP5-8.5 场景下的五个 CMIP6 模型(HadGEM3、ACCESS-ESM、MPI-ESM、MRI-ESM 和 EC-Earth3)的集合。它包括用于热量和降水异常分析、气候位移图以及该地区所有州的季节性箱线图的 Python/GEE 脚本。
[ES] Este conjunto de datos presenta el diagnóstico hidroclimático histórico (1991-2025) y las proyecciones a corto plazo (2026-2040) para el Nordeste Brasileño (NEB). Utiliza un conjunto de cinco modelos del CMIP6 (HadGEM3, ACCESS-ESM, MPI-ESM, MRI-ESM y EC-Earth3) bajo los escenarios SSP2-4.5 y SSP5-8.5. Incluye scripts de Python/GEE para el análisis de anomalías térmicas y pluviométricas, diagramas de desplazamiento de nicho climático y boxplots estacionales para todos los estados de la región.
[FR] Ce jeu de données présente le diagnostic hydroclimatique historique (1991-2025) et les projections à court terme (2026-2040) pour le Nord-Est du Brésil (NEB). Il utilise un ensemble de cinq modèles CMIP6 (HadGEM3, ACCESS-ESM, MPI-ESM, MRI-ESM et EC-Earth3) sous les scénarios SSP2-4.5 et SSP5-8.5. Il comprend des scripts Python/GEE pour l'analyse des anomalies thermiques et pluviométriques, des diagrammes de déplacement de niche climatique et des boxplots saisonniers pour tous les États de la région.
[DE] Dieser Datensatz liefert die historische hydroklimatische Diagnose (1991-2025) und kurzfristige Prognosen (2026-2040) für den Nordosten Brasiliens (NEB). Er verwendet ein Ensemble von fünf CMIP6-Modellen (HadGEM3, ACCESS-ESM, MPI-ESM, MRI-ESM und EC-Earth3) unter den Szenarien SSP2-4.5 und SSP5-8.5. Er enthält Python/GEE-Skripte für die Analyse von thermischen und Niederschlagsanomalien, Diagramme zur Verschiebung von Klimanischen und saisonale Boxplots für alle Bundesstaaten der Region.
Files
codigo do artigo 2 .ipynb
Files
(58.0 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:30528dcb899f7bbf33eb23afe3f357cb
|
7.8 MB | Download |
|
md5:9cb337ec73622403e9e476bc69efef9d
|
374.9 kB | Preview Download |
|
md5:6e6cd223aac04b577a06cc7fb7cd0eac
|
365.1 kB | Preview Download |
|
md5:74a694220bab54876ef079e3ef2ce0b0
|
375.6 kB | Preview Download |
|
md5:54ea07a63227f9c457d8deaa41ba73f4
|
354.8 kB | Preview Download |
|
md5:50b6897b33b53619d9d5d330b8b58268
|
375.1 kB | Preview Download |
|
md5:4faa18b9f9a974b507b07e61f20fb6c0
|
370.8 kB | Preview Download |
|
md5:1e148546ce2c4a56ee14ee5a419e1201
|
369.3 kB | Preview Download |
|
md5:b227ca6d73581f2b962a2260b5d0c5f8
|
354.4 kB | Preview Download |
|
md5:1adfb3f1aabc6852cf6c7189f7c24acc
|
374.3 kB | Preview Download |
|
md5:4bcbdd686e9159c4254007c7bb8bddaf
|
355.4 kB | Preview Download |
|
md5:a97d4bcde58437398d671f2e2be18874
|
372.1 kB | Preview Download |
|
md5:0cbc8eddfdb5ab128955698ee87e9f44
|
372.0 kB | Preview Download |
|
md5:f19d88ef4132fbe463ab4c13aa6d6c33
|
365.4 kB | Preview Download |
|
md5:19866fa2ca4f71f81acefe71b0bea5ff
|
366.9 kB | Preview Download |
|
md5:a12a1d54338ca94a35173d94e857ea7e
|
369.9 kB | Preview Download |
|
md5:2803910c28e87c1f5ef88b20605a7dd7
|
369.7 kB | Preview Download |
|
md5:7f7c2e97d27d41337309ddb6dcba1638
|
351.2 kB | Preview Download |
|
md5:d7df87d6f0ef070b1dde63d7b94e0b1f
|
351.1 kB | Preview Download |
|
md5:12ffdbeb83fde5d0b458d49ecd22a4ba
|
364.1 kB | Preview Download |
|
md5:fa13ed453dde48b00519e11e7239f98b
|
372.3 kB | Preview Download |
|
md5:985d4f5b7e8bfb2ac19b0f7515cc8044
|
2.1 MB | Preview Download |
|
md5:efa461ae44219007b629ee6b4ca2e6ec
|
518.9 kB | Preview Download |
|
md5:603fd800c58cac3c2f3d33626d55abdb
|
483.7 kB | Preview Download |
|
md5:36c6c0193e430d06a06a97f5704122c0
|
488.0 kB | Preview Download |
|
md5:9d8a36bd7aa320cfa516418beccfe436
|
477.5 kB | Preview Download |
|
md5:ec4d32a959471b2cc3c6dbfc83270ace
|
480.5 kB | Preview Download |
|
md5:ba1ef35c18eea01a3f148b9f2ce5b97a
|
484.5 kB | Preview Download |
|
md5:e17ae85f6554cff4c6a1763e96b0c5ec
|
481.8 kB | Preview Download |
|
md5:b001e30657b832b4f62829cd69456e04
|
483.9 kB | Preview Download |
|
md5:e5a98adc44feb0345565e01c6bc6c7b2
|
474.8 kB | Preview Download |
|
md5:aee5e515f18355e9b985cfa178ac9e27
|
476.7 kB | Preview Download |
|
md5:95a971bd9a57a8b85965bdae2822d2bf
|
473.1 kB | Preview Download |
|
md5:45a251285d0659000bd50f2520a63f43
|
475.0 kB | Preview Download |
|
md5:2e1f4e576db9effea8d9fcbc39f6bcfe
|
472.1 kB | Preview Download |
|
md5:44e893877283957ef178204db256fd19
|
455.9 kB | Preview Download |
|
md5:98e561c44cae5daaf73257e85c02dbf9
|
471.8 kB | Preview Download |
|
md5:7fd7cd6de55f2d34b54cc62aadf64e23
|
455.1 kB | Preview Download |
|
md5:6a02debb75f9076c0c36fc2120de7c73
|
434.2 kB | Preview Download |
|
md5:48de7e2c8f2dd79669c822fb5d6fbf03
|
429.8 kB | Preview Download |
|
md5:752b8d6efc12f40d199871d5416487ab
|
394.1 kB | Preview Download |
|
md5:fdd1e2071a2055d24b43fbc3e52d4e40
|
470.7 kB | Preview Download |
|
md5:6c10e76678760fadcdf79faf75690e21
|
454.0 kB | Preview Download |
|
md5:b99a798fc877edab057d73ecd729204c
|
449.0 kB | Preview Download |
|
md5:c1d255188a89330aa3aadbb0dc8bb64a
|
416.2 kB | Preview Download |
|
md5:b9d9d6659267bc9dfbfbbd7d355eedb8
|
972.8 kB | Preview Download |
|
md5:8294a475a916c8dcfcd280bda5e17527
|
1.4 MB | Preview Download |
|
md5:d16ddc5370fdc77c41d7d4ab87fe65c2
|
388.8 kB | Preview Download |
|
md5:e6193111bb0e0463311f1c2a30933bf0
|
554.6 kB | Preview Download |
|
md5:7eab68f5941b3e03295916c59a3ccdec
|
5.8 MB | Download |
|
md5:b4310cc3a9000839d01aa165527b2855
|
7.8 MB | Download |
|
md5:6d30753ea28873e2c5cd3859936735fc
|
654.1 kB | Preview Download |
|
md5:13099032ae287b35eab5d8d3cbf5172a
|
679.6 kB | Preview Download |
|
md5:e3ddad6de6529edb806d4528ffdad7ff
|
641.8 kB | Preview Download |
|
md5:d5984348952d4a93d082dc7ba99a4f47
|
588.3 kB | Preview Download |
|
md5:aa0a27306aab4a67880dc9e56a338bef
|
623.5 kB | Preview Download |
|
md5:7a23d0816d3d78f73409b993938dd545
|
687.5 kB | Preview Download |
|
md5:de1669e7316f93577057c65355779f2e
|
682.2 kB | Preview Download |
|
md5:02af1c288e35e1652b041e25459a8aae
|
610.5 kB | Preview Download |
|
md5:3c5581b54e9dfca5aa967890f7e49e47
|
669.0 kB | Preview Download |
|
md5:114d5d159d714d5dba345198e35bcdad
|
632.8 kB | Preview Download |
|
md5:467c1091f18c95bedcc3359903b4b20e
|
655.9 kB | Preview Download |
|
md5:4d680ca6a9dc57926387e90b7615392e
|
669.9 kB | Preview Download |
|
md5:51a9838b3ffbdd410ddc4ed13563c808
|
664.0 kB | Preview Download |
|
md5:63ce098d93b6b4a9e47a04a0c86bc138
|
634.1 kB | Preview Download |
|
md5:77b32464eda3322ffca08cabf02932dc
|
665.7 kB | Preview Download |
|
md5:d21fe3ecf04bc04695b5a854345471af
|
685.2 kB | Preview Download |
|
md5:f0722f9f320fc1f60109bb753cdecb18
|
654.0 kB | Preview Download |
|
md5:a285ffcfb168fa8b6eccb36fa6cadfc8
|
663.7 kB | Preview Download |
|
md5:8982a8471a50ef57c6f3e6ac797bd631
|
683.9 kB | Preview Download |
|
md5:e31467c76e6f634441855cac5a1f8ab4
|
663.2 kB | Preview Download |
|
md5:f2c00e94af1f84482fa652ee5e68c519
|
7.1 kB | Download |
Additional details
Additional titles
- Translated title (English)
- Climate Change and Precipitation Anomalies in Northeast Brazil: Monitoring and CMIP6 Projections via Google Earth Engine.