China’s Five-Year Plans balance stability and market vitality,o#ering a forward-looking model for social progress and economic transformation China’s Five-Year Plans(FYPs)represent a rare combination of strategic fo...China’s Five-Year Plans balance stability and market vitality,o#ering a forward-looking model for social progress and economic transformation China’s Five-Year Plans(FYPs)represent a rare combination of strategic foresight and adaptive governance.Over the past 70 years,this planning mechanism has served as both a compass and a roadmap,allowing China not only to stay true to its long-term objectives but also to recalibrate policies in response to evolving domestic and international environments.展开更多
China began to develop its meteorological satellite program since 1969.With 50-years’growing,there are 17 Fengyun(FY)meteorological satellites launched successfully.At present,seven of them are in orbit to provide th...China began to develop its meteorological satellite program since 1969.With 50-years’growing,there are 17 Fengyun(FY)meteorological satellites launched successfully.At present,seven of them are in orbit to provide the operational service,including three polar orbiting meteorological satellites and four geostationary meteorological satellites.Since last COSPAR report,no new Fengyun satellite has been launched.The information of the on-orbit FY-2 series,FY-3 series,and FY-4 series has been updated.FY-3D and FY-2H satellites accomplished the commission test and transitioned into operation in 2018.FY-2E satellite completed its service to decommission in 2019.The web-based users and Direct Broadcasting(DB)users keep growing worldwide to require the Fengyun satellite data and products.A new Mobile Application Service has been launched to Fengyun users based on the cloud technology in 2018.In this report,the international and regional co-operations to facilitate the Fengyun user community have been addressed especially.To strengthen the data service in the Belt and Road countries,the Emergency Support Mechanism of Fengyun satellite(FY_ESM)has been established since 2018.Meanwhile,a Recalibrating 30-years’archived Fengyun satellite data project has been founded since 2018.This project targets to generate the Fundamental Climate Data Record(FCDR)as a space agency response to the Global Climate Observation System(GCOS).At last,the future Fengyun program up to 2025 has been introduced as well.展开更多
Accurate brightness temperature(BT)is a top priority for retrievals of atmospheric and surface parameters.Microwave Radiation Imagers(MWRIs)on Chinese Fengyun-3(FY-3)serial polar-orbiting satellites have been providin...Accurate brightness temperature(BT)is a top priority for retrievals of atmospheric and surface parameters.Microwave Radiation Imagers(MWRIs)on Chinese Fengyun-3(FY-3)serial polar-orbiting satellites have been providing abundant BT data since 2008.Much work has been done to evaluate short-term MWRI observations,but the long-term performance of MWRIs remains unclear.In this study,operational MWRI BTs from 2012–19 were carefully examined by using simultaneous Advanced Microwave Scanning Radiometer 2(AMSR2)BTs as the reference.The BT difference between MWRI/FY3B and AMSR2 during 2012–19 increased gradually over time.As compared with MWRI/FY3B BTs over land,those of MWRI/FY3D were much closer to those of AMSR2.The ascending and descending orbit difference for MWRI/FY3D is also much smaller than that for MWRI/FY3B.These results suggested the improvement of MWRI/FY3D over MWRI/FY3B.A substantial BT difference between AMSR2 and MWRI was found over water,especially at the vertical polarization channels.A similar BT difference was found over polar water based on the simultaneous conical overpassing(SCO)method.Radiative transfer model simulations suggested that the substantial BT differences at the vertical polarization channels of MWRI and AMSR2 over water were partly contributed by their difference in the incident angle;however,the underestimation of the operational MWRI BT over water remained a very important issue.Preliminary assessment of the operational and recalibrated MWRI BT demonstrated that MWRI BTs were substantially improved after the recalibration,including the obvious underestimation of the operational MWRI BT at the vertical polarization channels over water was corrected,and the time-dependent biases were reduced.展开更多
The digital elevation model(DEM)is a type of model that has been widely used in terrain analysis and hydrological modeling.DEM resolution influences the hydrological and geomorphologic features of delineated catchment...The digital elevation model(DEM)is a type of model that has been widely used in terrain analysis and hydrological modeling.DEM resolution influences the hydrological and geomorphologic features of delineated catchments and consequently affects hydrological simulations.This study investigated the impacts of DEM resolution on the performance of the XAJ-GIUH hydrological model,a model coupling the widely used Xinanjiang(XAJ)hydrological model with the geomorphologic instantaneous unit hydrograph(GIUH),in flood simulations in small and medium-sized catchments.To test the model performance,the model parameters were calibrated at a fine DEM resolution(30 m)and then directly transferred to the simulation runs using coarser DEMs.Afterwards,model recalibration was conducted at coarser DEM resolutions.In the simulation runs with the model parameters calibrated at the 30-m resolution,the DEM resolution slightly affected the overall shape of the simulated flood hydrographs but presented a greater impact on the simulated peak discharges in the two study catchments.The XAJ-GIUH model consistently underestimated the peak discharges when the DEM resolution became coarser.The qualified ratio of peak simulations decreased by 35%when the DEM resolution changed from 30 m to 600 m.However,model recalibration produced comparable model per-formances when DEMs with different resolutions were used.This study showed that the impact of DEM resolution on model performance can be mitigated by model recalibration to some extent,if the DEM resolution is not too coarse.展开更多
Paleomagnetism of the Neoproterozoic Xiaofeng dykes exposed in the Three Gorges region of Hubei Province bear important implications for the paleogeography of the South China block(SCB).New high-precision U-Pb
The recent Nature Water article,“To Solve Climate Change,We Need to Restore Our Sponge Planet,”by Kongjian Yu,Erica Gies,and Warren W.Wood[1],makes a compelling case for recalibrating climate strategies to prioritiz...The recent Nature Water article,“To Solve Climate Change,We Need to Restore Our Sponge Planet,”by Kongjian Yu,Erica Gies,and Warren W.Wood[1],makes a compelling case for recalibrating climate strategies to prioritize the water cycle alongside reducing carbon emissions.The authors highlight how human activities-agriculture,urbanization,and industrialization-have degraded 75%of the earth’s land,severely disrupting natural water systems.This degradation diminishes the planet’s capacity to regulate temperature through water vapor,cloud formation,and the hydrological cycle,further accelerating climate instability.展开更多
Aiming at the problem of insufficient feature extraction in single scale neural network model and the problem that convolutional neural network cannot process sequential tasks in the classification of EEG signals in d...Aiming at the problem of insufficient feature extraction in single scale neural network model and the problem that convolutional neural network cannot process sequential tasks in the classification of EEG signals in depression,a hybrid model(BFTCNet)of dualbranch convolutional neural network(Bi_CNN)and temporal convolutional network(TCN)based on feature recalibration(FR)was proposed to classify EEG signals of depressed patients and healthy controls.Firstly,Bi_CNN module was used to extract the mixed EEG features between different frequency bands and different channels.Secondly,FR module was used to enhance the features extracted by Bi_CNN.Finally,TCN with dilated causal convolution was used for the sequence learning to capture the temporal dependency between features.In this study,128 EEG channels of resting-state(closed-eye)EEG data from the public dataset MODMA were used as experimental data,including 29 healthy controls and 24 depression patients.The performance of the model was evaluated by the 10-fold cross validation method.The proposed BFTCNet achieves a classification accuracy of 95.98%,F1 score value of 95.47%,sensitivity and specificity of 94.21%and 97.50%,respectively.Compared with the single-scale network model EEGNet-8,2,the classification accuracy and F1 value are improved by 1.5%and 1.48%,respectively.Meanwhile,the ablation experiment proved that each sub-module had its contribution to the improvement of the model’s classification ability.展开更多
TheΛseparation energy forΛhypernuclei,denoted BΛ,measured in 1967,1968,and 1973 are recalibrated using the current best estimates of the mass of particles and nuclei.The recalibrated BΛare systematically larger(ex...TheΛseparation energy forΛhypernuclei,denoted BΛ,measured in 1967,1968,and 1973 are recalibrated using the current best estimates of the mass of particles and nuclei.The recalibrated BΛare systematically larger(except in the case ofΛ~6He)than the originally published values by about 100 keV.The effect of this level of recalibration is very important for light hypemuclei,especially for the hypertriton.The early BΛvalues measured in1967,1968,and 1973 are widely used in theoretical research,and the new results provide better constraints for the conclusions of such studies.展开更多
The Visible and Infrared Radiometer(VIRR)onboard China's Fengyun-3A/B/C(FY-3A/B/C)satellites has delivered essential global Earth observations for over 15 years,enabling critical applications in cloud dynamics res...The Visible and Infrared Radiometer(VIRR)onboard China's Fengyun-3A/B/C(FY-3A/B/C)satellites has delivered essential global Earth observations for over 15 years,enabling critical applications in cloud dynamics research,vegetation assessment,and environmental monitoring.However,VIRR lacks onboard calibration systems for its visible/near-infrared channels,which results in progressive radiometric degradation due to cumulative space radiation and detector aging,challenging the generation of stable long-term climate datasets[e.g.,the fundamental climate data record(FCDR)].By integrating simultaneous nadir overpass(SNO)cross-calibration technique with references from Aqua's Moderate Resolution Imaging Spectroradiometer(MODIS),we identified pronounced seasonal fluctuations in long-term recalibration coefficients,particularly for the 0.86μm.To isolate these effects,singular spectrum analysis(SSA)was used to decompose the coefficient series into three components:trend,seasonal fluctuations,and residuals.A hybrid calibration model was then formulated by integrating the isolated trend and seasonal features.Validation across globally distributed pseudo-invariant sites confirmed enhanced radiometric stability.The work highlights the necessity of accounting for seasonally modulated calibration artifacts,which were previously unaddressed in operational protocols,to ensure the stability and accuracy of climate data records(CDRs).展开更多
文摘China’s Five-Year Plans balance stability and market vitality,o#ering a forward-looking model for social progress and economic transformation China’s Five-Year Plans(FYPs)represent a rare combination of strategic foresight and adaptive governance.Over the past 70 years,this planning mechanism has served as both a compass and a roadmap,allowing China not only to stay true to its long-term objectives but also to recalibrate policies in response to evolving domestic and international environments.
基金Supported by the National Key Research and Development Program of China(2018YFB0504900,2018YFB0504905)。
文摘China began to develop its meteorological satellite program since 1969.With 50-years’growing,there are 17 Fengyun(FY)meteorological satellites launched successfully.At present,seven of them are in orbit to provide the operational service,including three polar orbiting meteorological satellites and four geostationary meteorological satellites.Since last COSPAR report,no new Fengyun satellite has been launched.The information of the on-orbit FY-2 series,FY-3 series,and FY-4 series has been updated.FY-3D and FY-2H satellites accomplished the commission test and transitioned into operation in 2018.FY-2E satellite completed its service to decommission in 2019.The web-based users and Direct Broadcasting(DB)users keep growing worldwide to require the Fengyun satellite data and products.A new Mobile Application Service has been launched to Fengyun users based on the cloud technology in 2018.In this report,the international and regional co-operations to facilitate the Fengyun user community have been addressed especially.To strengthen the data service in the Belt and Road countries,the Emergency Support Mechanism of Fengyun satellite(FY_ESM)has been established since 2018.Meanwhile,a Recalibrating 30-years’archived Fengyun satellite data project has been founded since 2018.This project targets to generate the Fundamental Climate Data Record(FCDR)as a space agency response to the Global Climate Observation System(GCOS).At last,the future Fengyun program up to 2025 has been introduced as well.
基金supported by the National Key R&D Program of China(Grant No.2022YFF0801301)the National Natural Science Foundation of China(Grant No.41575033)。
文摘Accurate brightness temperature(BT)is a top priority for retrievals of atmospheric and surface parameters.Microwave Radiation Imagers(MWRIs)on Chinese Fengyun-3(FY-3)serial polar-orbiting satellites have been providing abundant BT data since 2008.Much work has been done to evaluate short-term MWRI observations,but the long-term performance of MWRIs remains unclear.In this study,operational MWRI BTs from 2012–19 were carefully examined by using simultaneous Advanced Microwave Scanning Radiometer 2(AMSR2)BTs as the reference.The BT difference between MWRI/FY3B and AMSR2 during 2012–19 increased gradually over time.As compared with MWRI/FY3B BTs over land,those of MWRI/FY3D were much closer to those of AMSR2.The ascending and descending orbit difference for MWRI/FY3D is also much smaller than that for MWRI/FY3B.These results suggested the improvement of MWRI/FY3D over MWRI/FY3B.A substantial BT difference between AMSR2 and MWRI was found over water,especially at the vertical polarization channels.A similar BT difference was found over polar water based on the simultaneous conical overpassing(SCO)method.Radiative transfer model simulations suggested that the substantial BT differences at the vertical polarization channels of MWRI and AMSR2 over water were partly contributed by their difference in the incident angle;however,the underestimation of the operational MWRI BT over water remained a very important issue.Preliminary assessment of the operational and recalibrated MWRI BT demonstrated that MWRI BTs were substantially improved after the recalibration,including the obvious underestimation of the operational MWRI BT at the vertical polarization channels over water was corrected,and the time-dependent biases were reduced.
基金supported by the National Natural Science Foundation of China(Grants No.51979070 and 52079035)the National Key Research and Development Program of China(Grant No.2018YFC1508103)+1 种基金the Natural Science Foundation of Jiangsu Province(Grant No.BK20180022)the Six Talent Peaks Project in Jiangsu Province(Grant No.NY-004).
文摘The digital elevation model(DEM)is a type of model that has been widely used in terrain analysis and hydrological modeling.DEM resolution influences the hydrological and geomorphologic features of delineated catchments and consequently affects hydrological simulations.This study investigated the impacts of DEM resolution on the performance of the XAJ-GIUH hydrological model,a model coupling the widely used Xinanjiang(XAJ)hydrological model with the geomorphologic instantaneous unit hydrograph(GIUH),in flood simulations in small and medium-sized catchments.To test the model performance,the model parameters were calibrated at a fine DEM resolution(30 m)and then directly transferred to the simulation runs using coarser DEMs.Afterwards,model recalibration was conducted at coarser DEM resolutions.In the simulation runs with the model parameters calibrated at the 30-m resolution,the DEM resolution slightly affected the overall shape of the simulated flood hydrographs but presented a greater impact on the simulated peak discharges in the two study catchments.The XAJ-GIUH model consistently underestimated the peak discharges when the DEM resolution became coarser.The qualified ratio of peak simulations decreased by 35%when the DEM resolution changed from 30 m to 600 m.However,model recalibration produced comparable model per-formances when DEMs with different resolutions were used.This study showed that the impact of DEM resolution on model performance can be mitigated by model recalibration to some extent,if the DEM resolution is not too coarse.
文摘Paleomagnetism of the Neoproterozoic Xiaofeng dykes exposed in the Three Gorges region of Hubei Province bear important implications for the paleogeography of the South China block(SCB).New high-precision U-Pb
文摘The recent Nature Water article,“To Solve Climate Change,We Need to Restore Our Sponge Planet,”by Kongjian Yu,Erica Gies,and Warren W.Wood[1],makes a compelling case for recalibrating climate strategies to prioritize the water cycle alongside reducing carbon emissions.The authors highlight how human activities-agriculture,urbanization,and industrialization-have degraded 75%of the earth’s land,severely disrupting natural water systems.This degradation diminishes the planet’s capacity to regulate temperature through water vapor,cloud formation,and the hydrological cycle,further accelerating climate instability.
基金supported by Natural Science Foundation of Gansu Province(No.21JR11RA062)University Innovation Fund of Gansu Province(No.2022A-047).
文摘Aiming at the problem of insufficient feature extraction in single scale neural network model and the problem that convolutional neural network cannot process sequential tasks in the classification of EEG signals in depression,a hybrid model(BFTCNet)of dualbranch convolutional neural network(Bi_CNN)and temporal convolutional network(TCN)based on feature recalibration(FR)was proposed to classify EEG signals of depressed patients and healthy controls.Firstly,Bi_CNN module was used to extract the mixed EEG features between different frequency bands and different channels.Secondly,FR module was used to enhance the features extracted by Bi_CNN.Finally,TCN with dilated causal convolution was used for the sequence learning to capture the temporal dependency between features.In this study,128 EEG channels of resting-state(closed-eye)EEG data from the public dataset MODMA were used as experimental data,including 29 healthy controls and 24 depression patients.The performance of the model was evaluated by the 10-fold cross validation method.The proposed BFTCNet achieves a classification accuracy of 95.98%,F1 score value of 95.47%,sensitivity and specificity of 94.21%and 97.50%,respectively.Compared with the single-scale network model EEGNet-8,2,the classification accuracy and F1 value are improved by 1.5%and 1.48%,respectively.Meanwhile,the ablation experiment proved that each sub-module had its contribution to the improvement of the model’s classification ability.
基金Supported by the Key Research Program of the Chinese Academy of Science(XDPB09)the National Natural Science Foundation of China(11890714,11775288,11421505,11520101004)+1 种基金the China Scholarship Council(201704910615)the U.S.Department of Energy,Office of Science(DE-FG02-89ER40531,DE-SC-0012704)
文摘TheΛseparation energy forΛhypernuclei,denoted BΛ,measured in 1967,1968,and 1973 are recalibrated using the current best estimates of the mass of particles and nuclei.The recalibrated BΛare systematically larger(except in the case ofΛ~6He)than the originally published values by about 100 keV.The effect of this level of recalibration is very important for light hypemuclei,especially for the hypertriton.The early BΛvalues measured in1967,1968,and 1973 are widely used in theoretical research,and the new results provide better constraints for the conclusions of such studies.
基金Supported by the National Key Research and Development Program of China(2023YFB3907500)。
文摘The Visible and Infrared Radiometer(VIRR)onboard China's Fengyun-3A/B/C(FY-3A/B/C)satellites has delivered essential global Earth observations for over 15 years,enabling critical applications in cloud dynamics research,vegetation assessment,and environmental monitoring.However,VIRR lacks onboard calibration systems for its visible/near-infrared channels,which results in progressive radiometric degradation due to cumulative space radiation and detector aging,challenging the generation of stable long-term climate datasets[e.g.,the fundamental climate data record(FCDR)].By integrating simultaneous nadir overpass(SNO)cross-calibration technique with references from Aqua's Moderate Resolution Imaging Spectroradiometer(MODIS),we identified pronounced seasonal fluctuations in long-term recalibration coefficients,particularly for the 0.86μm.To isolate these effects,singular spectrum analysis(SSA)was used to decompose the coefficient series into three components:trend,seasonal fluctuations,and residuals.A hybrid calibration model was then formulated by integrating the isolated trend and seasonal features.Validation across globally distributed pseudo-invariant sites confirmed enhanced radiometric stability.The work highlights the necessity of accounting for seasonally modulated calibration artifacts,which were previously unaddressed in operational protocols,to ensure the stability and accuracy of climate data records(CDRs).
