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    Introduction
    平台介绍

    FGOALS-f2天气-气候动力集合预报展示平台为“一带一路”防灾服务中长期天气-气候预测网络(MISSPAD)重要服务平台,得到“一带一路”国际科学组织联盟(ANSO)和国家自然科学基金委“青藏高原地-气耦合系统变化及其全球气候效应”重大研究计划的联合资助。

    FGOALS-f2预测系统的核心为中科院大气所LASG气候系统模式CAS FGOALS-f2,该模式是包括大气、海洋、陆地和海冰四大圈层相互作用的耦合模式,水平分辨率有100km和25km两个版本。大气分量模式为FAMIL2,其动力内核采用立方球面网格上的有限体积方法(FV3),主要的物理过程包括自主研发的显式对流降水方案(RCP)。

    平台展示部分涵盖短期天气预报、中长期(延伸期)预报到季节预测的无缝隙气象预报预测,覆盖全球和重点区(包括厄尔尼诺/南方涛动、北极海冰和“一带一路”国家地区等)的实时预报预测。为“一带一路”沿线国家和地区气象的防灾减灾提供预报预测服务。

    Platform Introduction

    The FGOALS-f2 weather-climate dynamic ensemble forecast display platform is an important service platform for Multi-model-Integrated Subseasonal-to-Seasonal Prediction and Application in Disaster Risk Reduction (MISSPAD). It is jointly funded by Alliance of International Science Organizations in the Belt and Road Region (ANSO) and the National Natural Science Foundation of China major research project of the earth-atmosphere coupling system on the Qinghai-Tibet Plateau and its global climate effect.

    The core architecture of FGOALS-f2 weather and S2S prediction system is the climate system model CAS FGOALS-f2 of CAS/IAP/LASG. There are 4 fully coupled components of CAS FGOALS-f2, including atmospheric, oceanic, land, and sea ice modules. CAS FGOALS-f2 have two standard horizontal resolutions: 100 km and 25 km. The dynamic core of atmospheric component (FAMIL2) is FV3, and the key process of the physical processes in FAMIL2 is a resolved convection precipitation scheme (RCP) , which is independently developed.

    The realtime prediction system covering the timescale from weather to season, and the prediction products cover both the global and regional areas (e.g. ENSO, Arctic Sea Ice, Tibet Plateau and B&R countries and regions). It provides forecasting services for disaster prevention and mitigation of weather in countries and regions along the “the Belt and Road”.

    MISSPAD项目介绍

    “一带一路”沿线国家由于特殊的地理位置,气象灾害频发。及时准确地预测极端气象灾害,是进行科学防灾的重要途径,对于保障人身安全和维护沿线国家的可持续发展至关重要。世界气象组织已将中长期天气-气候预测和极端事件列为重点研究内容。中科院大气所科学家牵头发起了“一带一路”防灾服务中长期天气-气候预测网络(Multi-model-Integrated Subseasonal-to-Seasonal Prediction and Application in Disaster Risk Reduction ,简写MISSPAD):①该计划将利用模式动力预测方法,依托我国的超算能力,将较成熟的天气气候预测服务扩展到带路目标区域;②与联盟成员国的业务中心紧密合作,提升对于洪涝、干旱、高温、寒潮和台风等气象灾害的预测能力;③将模拟预测产品应用于沿线国家和地区的气象灾害预测业务的同时,基于极端气象灾害的中长期预测产品,科学评估气象灾害可能导致的损失,预测灾害风险,完善气象灾害预警系统,提高防灾的能力。该计划通过开展及时有效的天气和气候预测服务、定期召开学术研讨会和短期培训班,提升对于洪涝、干旱、高温、寒潮和台风等灾害的预测水平,为带路国家和地区的民众生命财产安全、粮食安全和社会经济稳定发展保驾护航。

    MISSPAD Introduction

    Due to the special geographical location of the countries along the “Belt and Road”, meteorological disasters occur frequently. The timely and accurate prediction of extreme meteorological disasters is an important way for scientific disaster prevention, and it is vital to guaranteeing personal safety and maintaining the sustainable development of countries along the route. The World Meteorological Organization has listed medium and long-term weather-climate predictions and extreme events as key research content. The IAP CAS will play a leading role in the Multi-model-Integrated Subseasonal-to-Seasonal Prediction and Application in Disaster Risk Reduction(MISSPAD): ① The plan will use model dynamic forecasting methods and rely on China ’s supercomputing capabilities to expand more mature weather and climate forecasting services to target areas of B&R. ② Work closely with the business centers of the member states of the Union to improve the prediction skills of extreme meteorological disasters such as drought, flooding, heat wave, cold surge and tropical cyclone in B&R countries and regions. ③ At the same time that the model prediction products are applied to the meteorological disaster prediction business of the countries and regions along the route, based on the mid-term and long-term prediction products of extreme meteorological disasters, scientifically evaluate the possible losses caused by meteorological disasters, predict disaster risks, improve the early warning system for meteorological disasters, and improve prevention Disaster capacity. The plan promotes timely and effective weather and climate forecasting services, and regularly holds academic seminars and short-term training courses to improve the forecast level of disasters such as floods, droughts, high temperatures, cold waves and typhoons, and to protect the lives and property of people in the countries and regions that lead the way , escorted by food security and stable socio-economic development.

    “一带一路”国际科学组织联盟联盟(ANSO)介绍

    ANSO是由中国科学院和全球36个其他国际科学与教育机构于2018年成立的非营利,非政府国际科学组织。 ANSO是在中国“一带一路”倡议倡导的“共同协商,共同努力,共同共享”原则下产生的。

    ANSO致力于促进共同发展、可持续发展和推进联合国可持续发展目标,推动和实施科技创新和能力建设方面的具体国际合作倡议。可以预料,ANSO将把注意力集中在调查和应对最紧迫的区域和全球科学挑战上。重点包括通过与成员国和机构的伙伴关系与合作,支持全球南方的需求和科学能力建设。 ANSO是一个国际组织,旨在通过持续的活动、健全的科学计划和行动以及成功地解决全球需求和挑战,赢得全球的认可和支持。

    ANSO introduction

    ANSO is a non-profit, non-governmental international scientific organization founded in 2018 by the Chinese Academy of Sciences and 36 other international science and education institutions from around the world. ANSO came into being under the principles of "joint consultation, joint effort and joint sharing" championed by the Chinese "Belt and Road Initiative".

    ANSO is committed to promoting shared development, sustainable development and the advancement of the UN SDGs through catalyzing and implementing concrete international cooperation initiatives in Science, Technology & Innovation and Capacity Building (STIC). It is envisaged that ANSO will focus attention on the investigation and addressing of the most urgent regional and global scientific challenges. This focus includes supporting the needs and scientific capacity building of the Global South through partnerships and cooperation with the member countries and institutions. ANSO is an international organization designed to win global recognition and support through continuous activity, sound scientific programs and actions and success in addressing global needs and challenges.

  • 变网格精细化S2S
    Stretched-grid Downscaling S2S
    “小苹果”介绍
    Introduction to Xapp
    北极航道
    Arctic shipping routes
    北极航道N1
    Arctic N1
    北极航道N2
    Arctic N2
    北极航道N3
    Arctic N3
    北极航道N4
    Arctic N4
    北极航道N5
    Arctic N5
    尼泊尔
    Nepal
    斯里兰卡
    Sri Lanka
    泰国
    Thailand
    伊朗
    Iran
    云南
    Yunnan
    泛青藏高原
    Pan-Tibetan Plateau
    华东华南
    Southeast China
    视频展示
    Video
  • 极端事件
    Extreme Events
    极端事件指数
    Extreme Events Index
    极端寒冷
    Extreme Cold
    冷昼
    Cold Day
    冷夜
    Cold Night
    冷空气
    Cold air
    持续冷日指数
    Cold Spell Duration Index
    极端热
    Extreme Heat
    暖昼
    Warm Day
    暖夜
    Warm Night
    持续暖日指数
    Warm Spell Duration Index
    月温度异常
    Monthly Temperature Anomaly
    极端降水频次
    Extreme Precipitation Frequency
    人口暴露度
    Population Exposure
    极端降水
    Extreme Precipitation
  • 短期预报
    Short-Term
    降水量
    Precipitation
    最高温
    Temp High
    最低温
    Temp High
  • 中期预报
    Medium-Range
    10天降水总量
    10d Accumulated Prect
    10天温度异常
    10d Temp Anomaly
  • 延伸期预报
    Extended-Range
    实时数据上传
    Data Upload
    实时数据下载
    Data Download
    11-20天降水总量
    11-20d Accumulated Pr
    11-20天降水异常
    11-20d Accumulated Pr Anomaly
    11-20天温度异常
    11-20d Temp Anomaly
    30天平均温度距平
    30d Average Temperature Anomaly
    30天平均温度
    30d Average Temperature
    30天降水距平百分率
    30d Precipitation Anomaly Percentage
    30天降水量
    30d Precipitation Accumulation
  • 季节预测
    Seasonal Predictions
    V1.0 中国
    China
    青藏高原
    Tibet plateau
    中亚
    central Asia
    东亚
    East Asia
    南亚
    south Asia
    北美
    North America
    非洲
    Africa
    北极海冰
    Arctic sea ice
    厄尔尼诺/南方涛动
    Enso
    印度洋偶极子
    IOD
    中南半岛
    IndoChina
  • 年代际预测
    Decadal Predictions
    FGOALS-f2 FGOALS-f3-L
  • ENSO
  • 台风
    TC
    西北太平洋
    WP
    前八周
    Week 1-8
    第一月
    1st month
    第二月
    2nd month
    印度洋
    CH
    前八周
    Week 1-8
    第一月
    1st month
    第二月
    2nd month
  • 干旱
    Drought
    伊朗
    IR
    无雨日
    Dry Days
    标准化降水指数
    SPI
    中国
    CH
    无雨日
    Dry Days
    标准化降水指数
    SPI
  • 北极海冰
    Arctic Sea Ice
  • 大气低频振荡
    MJO/EISO/BSISO
    MJO EISO BSISO
  • 青藏高原
    Tibet Plateau
    降水量
    Precipitation
    最高温
    Temp High
    最低温
    Temp Low
    位涡总量
    PV Total
    surface 700hPa 500hPa 200hPa 100hPa 50hPa 位涡水平分量
    PV Horizontal
    surface 700hPa 500hPa 200hPa 100hPa 50hPa 位涡垂直分量
    PV Vertical
    surface 700hPa 500hPa 200hPa 100hPa 50hPa
  • 一带一路
    B&R countries and regions
    中亚
    Central Asia
    降水量
    Precipitation
    最高温
    Temp High
    最低温
    Temp Low
    南亚
    South Asia
    降水量
    Precipitation
    最高温
    Temp High
    最低温
    Temp Low
    西亚
    West Asia
    降水量
    Precipitation
    最高温
    Temp High
    最低温
    Temp Low
    非洲
    Africa
    降水量
    Precipitation
    最高温
    Temp High
    最低温
    Temp Low
  • 全球位涡
    Global PV
    位涡总量
    PV Total
    surface 700hPa 500hPa 200hPa 100hPa 50hPa 位涡水平分量
    PV Horizontal
    surface 700hPa 500hPa 200hPa 100hPa 50hPa 位涡垂直分量
    PV Vertical
    surface 700hPa 500hPa 200hPa 100hPa 50hPa