Penman-Monteith-Leuning Evapotranspiration V2(PML_V2) 제품에는 2000년~2023년 동안 500m 해상도와 8일 주기로 관측한 -60°S~90°N 공간 범위에서의 증발산량(ET), 3가지 구성요소, 총 일차 생산량(GPP)이 포함됩니다.
PML_V2 제품의 주요 장점은 다음과 같습니다.
캐노피 컨덕턴스를 통한 증산량과 GPP의 결합 추정치(Gan 외, 2018년, Zhang 외, 2019년)
ET를 식물의 증산, 토양의 직접 증발, 식물에서 차단된 강우의 증발 등 3가지 구성요소로 분할(Zhang 외, 2016년).
PML_V2 제품은 전 세계 95개 플럭스 사이트의 관측치에 비해 성능이 우수하며, 물 및 생태 연구 커뮤니티에서 널리 사용되는 주요 최첨단 ET 및 GPP 제품과 유사하거나 눈에 띄게 우수합니다(Zhang 외, 2019년).
v0.1.4와 비교한 v0.1.8의 주요 변경사항은 다음과 같습니다.
MODIS C6.1 데이터를 사용하여 시간 범위가 최신으로 연장됩니다(매년 업데이트될 수 있음).
합성 LAI(MCD15A3H) 대신 MODIS Terra LAI(MOD15A2H)가 사용됩니다.
LAI가 변경되면 파라미터가 재보정되지만 다른 강제력은 동일하게 유지됩니다.
대역
픽셀 크기 500미터
대역
이름
단위
최소
최대
픽셀 크기
설명
GPP
gC m-2 d-1
0*
39.01*
미터
총 일차 생산량
Ec
mm/d
0*
15.33*
미터
식물 증산
Es
mm/d
0*
8.2*
미터
토양 증발
Ei
mm/d
0*
12.56*
미터
식물 캐노피의 차단
ET_water
mm/d
0*
20.11*
미터
수역, 눈, 얼음의 증발량. 이러한 표면의 실제 증발량을 잘 추정하는 Penman 방정식을 사용해 계산됨
Zhang, Y., Kong, D., Gan, R., Chiew, F.H.S., McVicar, T.R., Zhang, Q.
및 Yang, Y., 2019년. 2002년~2017년 500m 및 8일 해상도로 관측한 글로벌 증발산량과 총 일차 생산량의 결합 추정.
Remote Sens. Environ. 222, 165~182,
doi:10.1016/j.rse.2018.12.031
Gan, R., Zhang, Y.Q., Shi, H., Yang, Y.T., Eamus, D., Cheng, L.,
Chiew, F.H.S., Yu, Q., 2018년. 위성 잎 면적 지수를 사용한 오스트레일리아 생태계의 증발산량과 총 동화작용 추정.
Ecohydrology, doi:10.1002/eco.1974년
Zhang, Y., Peña-Arancibia, J.L., McVicar, T.R., Chiew, F.H.S., Vaze, J.,
Liu, C., Lu, X., Zheng, H., Wang, Y., Liu, Y.Y., Miralles, D.G., Pan,
M., 2016년. 전 세계 육상 증발산량 및 그 구성요소의 수십 년간의 추세 Sci. Rep. 6, 19124.
doi:10.1038/srep19124
Penman-Monteith-Leuning Evapotranspiration V2(PML_V2) 제품에는 2000년~2023년 동안 500m 해상도와 8일 주기로 관측한 -60°S~90°N 공간 범위에서의 증발산량(ET), 3가지 구성요소, 총 일차 생산량(GPP)이 포함됩니다. PML_V2 제품의 주요 장점은 다음과 같습니다. 캐노피 컨덕턴스를 통한 증산량과 GPP의 결합된 추정치(Gan 외 …
[null,null,[],[[["\u003cp\u003eThe PML_V2 dataset provides evapotranspiration (ET), its three components, and gross primary product (GPP) at 500m and 8-day resolution from 2000-2023.\u003c/p\u003e\n"],["\u003cp\u003eIt covers a spatial range from -60°S to 90°N and offers coupled estimates of transpiration and GPP via canopy conductance.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset partitions ET into transpiration, soil evaporation, and interception from vegetation canopy.\u003c/p\u003e\n"],["\u003cp\u003ePML_V2 products have been validated against observations at 95 flux sites globally and show comparable or superior performance to other leading ET and GPP products.\u003c/p\u003e\n"],["\u003cp\u003eThis version (v0.1.8) extends the temporal coverage, uses MODIS Terra LAI, and features recalibrated parameters.\u003c/p\u003e\n"]]],["The PML_V2 dataset provides 8-day resolution evapotranspiration (ET) and gross primary product (GPP) data from 2000 to 2023, covering -60°S to 90°N, at a 500m pixel size. ET is partitioned into vegetation transpiration, soil evaporation, and canopy interception. Key features include coupled transpiration/GPP estimates and updated temporal coverage using MODIS C6.1. Data is accessible via Google Earth Engine using the provided code snippet and licensed under CC-BY 4.0, dataset source is [PML_V2](https://github.com/kongdd/PML).\n"],null,["# PML_V2 0.1.8: Coupled Evapotranspiration and Gross Primary Product (GPP)\n\nDataset Availability\n: 2000-02-26T00:00:00Z--2023-12-27T00:00:00Z\n\nDataset Provider\n:\n\n\n [PML_V2](https://github.com/kongdd/PML)\n\nCadence\n: 8 Days\n\nTags\n:\n[evapotranspiration](/earth-engine/datasets/tags/evapotranspiration) [gpp](/earth-engine/datasets/tags/gpp) [plant-productivity](/earth-engine/datasets/tags/plant-productivity) [water-vapor](/earth-engine/datasets/tags/water-vapor) \n\n#### Description\n\nPenman-Monteith-Leuning Evapotranspiration V2 (PML_V2) products include\nevapotranspiration (ET), its three components, and\ngross primary production (GPP) at 500m and 8-day resolution during 2000-2023\nand with spatial range from -60°S to 90°N. The major advantages of the\nPML_V2 products are:\n\n1. Coupled estimates of transpiration and GPP via canopy conductance (Gan et al., 2018; Zhang et al., 2019)\n2. Partitioning ET into three components: transpiration from vegetation, direct evaporation from the soil, and vaporization of intercepted rainfall from vegetation (Zhang et al., 2016).\n\nThe PML_V2 products perform well against observations\nat 95 flux sites across the globe, and are similar to or noticeably better than\nmajor state-of-the-art ET and GPP products widely used by water and ecology\nresearch communities (Zhang et al., 2019).\n\nKey changes in v0.1.8 compared with the original v0.1.4:\n\n1. Temporal coverage is lengthened to the latest (may update annually) with the MODIS C6.1 data.\n2. MODIS Terra LAI (MOD15A2H) is used rather than the composite LAI (MCD15A3H).\n3. Parameters are recalibrated with the change in LAI, while other forcings remain the same.\n\n### Bands\n\n\n**Pixel Size**\n\n500 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|------------|------------|-----|---------|------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `GPP` | gC m-2 d-1 | 0\\* | 39.01\\* | meters | Gross primary production |\n| `Ec` | mm/d | 0\\* | 15.33\\* | meters | Vegetation transpiration |\n| `Es` | mm/d | 0\\* | 8.2\\* | meters | Soil evaporation |\n| `Ei` | mm/d | 0\\* | 12.56\\* | meters | Interception from vegetation canopy |\n| `ET_water` | mm/d | 0\\* | 20.11\\* | meters | Evaporation from water bodies, snow, and ice. Calculated using the Penman equation, which is considered a good estimate of actual evaporation for these surfaces. |\n\n\\* estimated min or max value\n\n### Terms of Use\n\n**Terms of Use**\n\nAcknowledgements\n\nWhenever PML datasets are used in a scientific publication, the given\nreferences should be cited.\n\nLicense\n\nThe dataset is licensed under the\n[CC-BY 4.0 license](https://creativecommons.org/licenses/by/4.0/).\n\n### Citations\n\nCitations:\n\n- Zhang, Y., Kong, D., Gan, R., Chiew, F.H.S., McVicar, T.R., Zhang, Q.,\n and Yang, Y., 2019. Coupled estimation of 500m and 8-day resolution global\n evapotranspiration and gross primary production in 2002-2017.\n Remote Sens. Environ. 222, 165-182,\n [doi:10.1016/j.rse.2018.12.031](https://doi.org/10.1016/j.rse.2018.12.031)\n- Gan, R., Zhang, Y.Q., Shi, H., Yang, Y.T., Eamus, D., Cheng, L.,\n Chiew, F.H.S., Yu, Q., 2018. Use of satellite leaf area index estimating\n evapotranspiration and gross assimilation for Australian ecosystems.\n Ecohydrology, [doi:10.1002/eco.1974](https://doi.org/10.1002/eco.1974)\n- Zhang, Y., Peña-Arancibia, J.L., McVicar, T.R., Chiew, F.H.S., Vaze, J.,\n Liu, C., Lu, X., Zheng, H., Wang, Y., Liu, Y.Y., Miralles, D.G., Pan,\n M., 2016. Multi-decadal trends in global terrestrial evapotranspiration\n and its components. Sci. Rep. 6, 19124.\n [doi:10.1038/srep19124](https://doi.org/10.1038/srep19124)\n\n### DOIs\n\n- \u003chttps://doi.org/10.1002/eco.1974\u003e\n- \u003chttps://doi.org/10.1038/srep19124\u003e\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.ImageCollection('CAS/IGSNRR/PML/V2_v018');\n\nvar visualization = {\n bands: ['GPP'],\n min: 0.0,\n max: 9.0,\n palette: [\n 'a50026', 'd73027', 'f46d43', 'fdae61', 'fee08b', 'ffffbf',\n 'd9ef8b', 'a6d96a', '66bd63', '1a9850', '006837',\n ]\n};\n\nMap.setCenter(0.0, 15.0, 2);\n\nMap.addLayer(\n dataset.first(), visualization, 'PML_V2 0.1.8 Gross Primary Product (GPP)');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/CAS/CAS_IGSNRR_PML_V2_v018) \n[PML_V2 0.1.8: Coupled Evapotranspiration and Gross Primary Product (GPP)](/earth-engine/datasets/catalog/CAS_IGSNRR_PML_V2_v018) \nPenman-Monteith-Leuning Evapotranspiration V2 (PML_V2) products include evapotranspiration (ET), its three components, and gross primary production (GPP) at 500m and 8-day resolution during 2000-2023 and with spatial range from -60°S to 90°N. The major advantages of the PML_V2 products are: Coupled estimates of transpiration and GPP via canopy conductance (Gan et ... \nCAS/IGSNRR/PML/V2_v018, evapotranspiration,gpp,plant-productivity,water-vapor \n2000-02-26T00:00:00Z/2023-12-27T00:00:00Z \n-60 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.1038/srep19124](https://doi.org/https://github.com/kongdd/PML)\n- [https://doi.org/10.1038/srep19124](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/CAS_IGSNRR_PML_V2_v018)"]]
