A Gridded Solar Irradiance Ensemble Prediction System Based on WRF-Solar EPS and the Analog Ensemble

被引:3
|
作者
Alessandrini, Stefano [1 ]
Kim, Ju-Hye [1 ]
Jimenez, Pedro A. [1 ]
Dudhia, Jimy [2 ]
Yang, Jaemo [3 ]
Sengupta, Manajit [3 ]
机构
[1] Natl Ctr Atmospher Res, Res Appl Lab, Boulder, CO 80307 USA
[2] Natl Ctr Atmospher Res, Mesoscale & Microscale Meteorol Lab, Boulder, CO 80307 USA
[3] Natl Renewable Energy Lab, Golden, CO 80401 USA
基金
美国国家科学基金会;
关键词
solar irradiance ensemble forecasting; analog ensemble; rare events; ensemble calibration; WIND POWER; PART I; MODEL; FORECASTS; ENERGY; IMPLEMENTATION; UNCERTAINTIES; GENERATION;
D O I
10.3390/atmos14030567
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The WRF-Solar Ensemble Prediction System (WRF-Solar EPS) and a calibration method, the analog ensemble (AnEn), are used to generate calibrated gridded ensemble forecasts of solar irradiance over the contiguous United States (CONUS). Global horizontal irradiance (GHI) and direct normal irradiance (DNI) retrievals, based on geostationary satellites from the National Solar Radiation Database (NSRDB) are used for both calibrating and verifying the day-ahead GHI and DNI predictions (GDIP). A 10-member ensemble of WRF-Solar EPS is run in a re-forecast mode to generate day-ahead GDIP for three years. The AnEn is used to calibrate GDIP at each grid point independently using the NSRDB as the "ground truth". Performance evaluations of deterministic and probabilistic attributes are carried out over the whole CONUS. The results demonstrate that using the AnEn calibrated ensemble forecast from WRF-Solar EPS contributes to improving the overall quality of the GHI predictions with respect to an AnEn calibrated system based only on the deterministic run of WRF-Solar. In fact, the calibrated WRF-Solar EPS's mean exhibits a lower bias and RMSE than the calibrated deterministic WRF-Solar. Moreover, using the ensemble mean and spread as predictors for the AnEn allows a more effective calibration than using variables only from the deterministic runs. Finally, it has been shown that the recently introduced algorithm of correction for rare events is of paramount importance to obtain the lowest values of GHI from the calibrated ensemble (WRF-Solar EPS AnEn), qualitatively consistent with those observed from the NSRDB.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] The WRF-Solar Ensemble Prediction System to Provide Solar Irradiance Probabilistic Forecasts
    Kim, Ju-Hye
    Munoz, Pedro Jimenez
    Sengupta, Manajit
    Yang, Jaemo
    Dudhia, Jimy
    Alessandrini, Stefano
    Xie, Yu
    [J]. IEEE JOURNAL OF PHOTOVOLTAICS, 2022, 12 (01): : 141 - 144
  • [2] The WRF-Solar Ensemble Prediction System To Provide Solar Irradiance Probabilistic Forecasts
    Kim, Ju-Hye
    Jimenez, Pedro A.
    Sengupta, Manajit
    Yang, Jaemo
    Dudhia, Jimy
    Alessandrini, Stefano
    Xie, Yu
    [J]. 2021 IEEE 48TH PHOTOVOLTAIC SPECIALISTS CONFERENCE (PVSC), 2021, : 1233 - 1235
  • [3] RESEARCH ON SHORT-TERM IRRADIANCE PREDICTION BASED ON WRF-SOLAR MODEL AND SCA CORRECTION
    Shang, Yongpeng
    Guo, Junhong
    Song, Yu
    Liu, Wenjiao
    Ma, Wenjing
    Li, Wei
    [J]. Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2023, 44 (05): : 274 - 279
  • [4] Influences of Cloud Microphysics on the Components of Solar Irradiance in the WRF-Solar Model
    Zhou, Xin
    Liu, Yangang
    Shan, Yunpeng
    Endo, Satoshi
    Xie, Yu
    Sengupta, Manajit
    [J]. ATMOSPHERE, 2024, 15 (01)
  • [5] Sensitivity of solar irradiance to model parameters in cloud and aerosol treatments of WRF-solar
    Liu, Ye
    Qian, Yun
    Feng, Sha
    Berg, Larry K.
    Juliano, Timothy W.
    Jimenez, Pedro A.
    Liu, Ying
    [J]. SOLAR ENERGY, 2022, 233 : 446 - 460
  • [6] Calibration of cloud and aerosol related parameters for solar irradiance forecasts in WRF-solar
    Liu, Ye
    Qian, Yun
    Feng, Sha
    Berg, Larry K.
    Juliano, Timothy W.
    Jimenez, Pedro A.
    Grimit, Eric
    Liu, Ying
    [J]. SOLAR ENERGY, 2022, 241 : 1 - 12
  • [7] Assessment of Simulated Solar Irradiance on Days of High Intermittency Using WRF-Solar
    Prasad, Abhnil Amtesh
    Kay, Merlinde
    [J]. ENERGIES, 2020, 13 (02)
  • [8] Quantile mapping correction of analog ensemble forecast for solar irradiance
    Kakimoto, Mitsuru
    Shiga, Yoshiaki
    Shin, Hiromasa
    Ikeda, Ryosaku
    Kusaka, Hiroyuki
    [J]. SOLAR ENERGY, 2022, 237 : 253 - 263
  • [9] Evaluating WRF-Solar EPS cloud mask forecast using the NSRDB
    Yang, Jaemo
    Sengupta, Manajit
    Jimenez, Pedro A.
    Kim, Ju-Hye
    Xie, Yu
    [J]. SOLAR ENERGY, 2022, 243 : 348 - 360
  • [10] Probability prediction of solar irradiance in the tropic using ensemble forecasting
    Harada, Daiki
    Moriai, Naoki
    Chinnavornrungsee, Perawut
    Kittisontirak, Songkiate
    Chollacoop, Nuwong
    Songtrai, Sasiwimon
    Sriprapha, Kobsak
    Yoshino, Jun
    Kobayashi, Tomonao
    [J]. JAPANESE JOURNAL OF APPLIED PHYSICS, 2023, 62 (SK)