[Python] 파이썬 MOHID 해양순환모델 결과 (남동해역 유속, 수온, 염분)를 이용한 가시화

정보

업무명 : 파이썬 MOHID 해양순환모델 결과 (남동해역 유속, 수온, 염분)를 이용한 가시화
작성자 : 박진만
작성일 : 2019-09-02
설 명 : 한반도 동남해상 전체에 대한 유속, 수온, 염분 가시화
수정이력 :

내용

[특징]

소스 코드의 초기화 설정 (관련 URL)
NetCDF 및 shp 파일을 이용하여, 각각의 구성요소를 가시화 (동남해역 전체 범위)

[기능]

동남해역 전체 범위에 대한 유속, 수온 염분 매핑 (각 depth 별)
basemap 사용

[활용 자료]

없음

[자료 처리 방안 및 활용 분석 기법]

없음

[사용법]

1 단계 초기 설정한 후 소스 코드 실행 (python ##)

[사용 OS]

Window 10

[사용 언어]

Python v2.7

소스 코드

## 동남해역 유속 매핑 ##

arrow_magn=20.0


#%matplotlib inline
dep = [0,10,25,50,75]
depnum = [18,16,15,13,12] #surface / 10m / 25m / 50m / 75m

    
for i in range(0,1,1):
    depcount = -1
    for j in depnum:
        
        #print(j)
        depcount += 1
        
        # fig Size
        fig = plt.figure(figsize=(10, 12.5))
        ax  = fig.add_subplot(111)
        
        # style
        plt.style.use('seaborn-darkgrid')
    
        # define font size
        plt.rc("font", size=15)
        plt.rcParams['font.family'] = 'sans-serif'
        plt.rcParams['font.sans-serif'] = 'New Century Schoolbook'
        plt.rcParams["font.weight"] = "bold"
        plt.rcParams['axes.labelsize'] = 26
        plt.rcParams['xtick.labelsize'] = 26
        plt.rcParams['ytick.labelsize'] = 26
        plt.rcParams["axes.labelweight"] = "bold"
        plt.rcParams["axes.titleweight"] = "bold"
        plt.rcParams['contour.corner_mask'] = False
        plt.rcParams.update({'figure.autolayout': True})
        
        
        #vector extract
        varU= ncfile.variables[u'u'][i,j,:,:]
        varV= ncfile.variables[u'v'][i,j,:,:]
        varVM= ncfile.variables[u'vm'][i,j,:,:]
        
        
        varVM = switch(varVM,j) #마스크 계산 함수 호출...
    
        varVM = np.ma.array(varVM, mask = varVM <= 0.0)

        plt.contour(BS_X, BS_Y, varVM,cv_tick, linewidths=0,color='k')
        bsmap.contourf(BS_X,BS_Y,varVM,cv_tick,cmap=cmap_jet,vmin = 0, vmax = 2, extend='both')
    
        #color bar
        colorbar = bsmap.colorbar(location='right',size=0.25, ticks=cv_cbar_tick, cmap=cmap_jet,extendrect='False')
        colorbar.ax.set_yticklabels(colorbar.ax.get_yticklabels(), fontsize=11)
    
    
        # vector mapping
        meana = np.mean(varVM[points])
    
        Q = bsmap.quiver(lon2D[points],lat2D[points],varU[points],varV[points],varVM[points],pivot='middle',cmap=vcmap,latlon=True, scale_units='inches',scale=meana*arrow_magn,minlength=0.1,headwidth=4.0)
        plt.quiverkey(Q, 0.1, 0.95, 1, ''+str(int(1)) + 'm/s', labelpos='N', fontproperties={'weight': 'bold', 'size':'12'},labelsep=0.1)
        plt.quiverkey(Q, 0.1, 0.95, 1, 'Reference Vector', labelpos='S', fontproperties={'weight': 'bold', 'size':'12'},labelsep=0.1)
        
        BSPATCH = BSPOLY(bsmap)
        JPPATCH = JPPOLY(bsmap)
            
        ax.add_collection(PatchCollection(BSPATCH, facecolor= 'lightgray', edgecolor='k', linewidths=0.5, zorder=1))
        ax.add_collection(PatchCollection(JPPATCH, facecolor= 'lightgray', edgecolor='k', linewidths=0.5, zorder=1))
        
        # gray background
    
        bsmap.drawparallels(np.arange(-150, 120, 2), labels=[0,0,0,0], dashes=[2,2], color='lightgray')
        bsmap.drawmeridians(np.arange(-180, 180, 2), labels=[0,0,0,0], dashes=[2,2], color='lightgray')
        bsmap.drawmapboundary(fill_color='white')


        plt.title('Currend Vectors(m/s)', loc='left', size=20)
        plt.suptitle('[depth : ' + str(int(dep[depcount])) + 'm]', x=0.365, y=0.86, size=15)
        
        # lat label
        #plt.annotate(u'32\N{DEGREE SIGN}N', xy=(bsmap(123.0, 32.04)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'34\N{DEGREE SIGN}N', xy=(bsmap(123.0, 34.04)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'36\N{DEGREE SIGN}N', xy=(bsmap(123.0, 36.04)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'38\N{DEGREE SIGN}N', xy=(bsmap(123.0, 38.04)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'40\N{DEGREE SIGN}N', xy=(bsmap(123.0, 40.04)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
    
        # lon label
        #plt.annotate(u'124\N{DEGREE SIGN}E', xy=(bsmap(124.3, 30.90)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'126\N{DEGREE SIGN}E', xy=(bsmap(126.3, 30.90)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'128\N{DEGREE SIGN}E', xy=(bsmap(128.3, 30.90)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'130\N{DEGREE SIGN}E', xy=(bsmap(130.3, 30.90)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'132\N{DEGREE SIGN}E', xy=(bsmap(132.3, 30.90)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
    
        # time label
        plt.annotate('VALID :'+times[i] + ' UTC', xy=(0.0, -0.035), color='red', fontweight='bold', textcoords='axes fraction',verticalalignment='left',xycoords='data', size=15)
        plt.annotate(local_dt[i] + ' KST', xy=(0.092, -0.065), color='black', fontweight='bold', textcoords='axes fraction',verticalalignment='left',xycoords='data', size=15)
        
        plt.annotate('TIME :'+times[0] + ' UTC', xy=(0.7, -0.035), color='red', fontweight='bold', textcoords='axes fraction',verticalalignment='left',xycoords='data', size=15)
        plt.annotate(local_dt[0] + ' KST', xy=(0.780, -0.065), color='black', fontweight='bold', textcoords='axes fraction',verticalalignment='left',xycoords='data', size=15)

        plt.savefig('BS_cv' + times[i] + 'h _' + str(int(dep[depcount])) + 'm_layer' + '.png')
        
        print('BS_cv_' + times[i] + 'h_' + str(int(dep[depcount])) + 'm_layer' + '.png' + '    SUCCESS!!')
    
        #plt.show()
        
        

## 동남해역 수온 매핑 ##


dep = [0,10,25,50,75]
depnum = [18,16,15,13,12] #surface / 10m / 25m / 50m / 75m

for i in range(0,1,1):
    depcount = -1
    for j in depnum:
        
        #print(j)
        depcount += 1
        
        # fig Size
        fig = plt.figure(figsize=(10, 12.5))
        ax  = fig.add_subplot(111)

        # style
        plt.style.use('seaborn-darkgrid')
    
        # define font size
        plt.rc("font", size=15)
        plt.rcParams['font.family'] = 'sans-serif'
        plt.rcParams['font.sans-serif'] = 'New Century Schoolbook'
        plt.rcParams["font.weight"] = "bold"
        plt.rcParams['axes.labelsize'] = 26
        plt.rcParams['xtick.labelsize'] = 26
        plt.rcParams['ytick.labelsize'] = 26
        plt.rcParams["axes.labelweight"] = "bold"
        plt.rcParams["axes.titleweight"] = "bold"
        plt.rcParams['contour.corner_mask'] = False
        plt.rcParams.update({'figure.autolayout': True})
        
        
        #vector extract
        var = ncfile.variables[u'temperature'][i,j,:,:]
        
        var = switch(var,j) #마스크 계산 함수 호출...
        var = np.ma.array(var, mask = var <= 0.0)
        
        cc = plt.contour(BS_X, BS_Y,var,tp_cont_tick, linewidths=1,cmap=vcmap)
        bsmap.contourf(BS_X,BS_Y,var,tp_conf_tick,cmap=cmap_jet1,vmin = 0.0, vmax = 33.0, extend='both')
        
        plt.clabel(cc, inline=True, fontsize=12, fmt ='%2i',  colors='k',inline_spacing=3.0)

        
        # FILL POLYGON COLOR AND PLOT BOUNDATY LINE
        BSPATCH = BSPOLY(bsmap)
        JPPATCH = JPPOLY(bsmap)
        
        ax.add_collection(PatchCollection(BSPATCH, facecolor= 'lightgray', edgecolor='k', linewidths=0.5, zorder=1))
        ax.add_collection(PatchCollection(JPPATCH, facecolor= 'lightgray', edgecolor='k', linewidths=0.5, zorder=1))
        
        #color bar
        colorbar = bsmap.colorbar(location='right',size=0.25, ticks=tp_cbar_tick, cmap=cmap_jet1,extendrect='False')
        colorbar.ax.set_yticklabels(colorbar.ax.get_yticklabels(), fontsize=11)
    
    
        # white background gray fill contin        
        bsmap.drawparallels(np.arange(-150, 120, 2), labels=[0,0,0,0], dashes=[2,2], color='lightgray')
        bsmap.drawmeridians(np.arange(-180, 180, 2), labels=[0,0,0,0], dashes=[2,2], color='lightgray')
        bsmap.drawmapboundary(fill_color='white')
    
        plt.title('Currend Vectors(m/s)', loc='left', size=20)
        plt.suptitle('[depth : ' + str(int(dep[depcount])) + 'm]', x=0.365, y=0.863, size=15)
        
        # lat label
        #plt.annotate(u'32\N{DEGREE SIGN}N', xy=(bsmap(123.0, 32.04)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'34\N{DEGREE SIGN}N', xy=(bsmap(123.0, 34.04)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'36\N{DEGREE SIGN}N', xy=(bsmap(123.0, 36.04)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'38\N{DEGREE SIGN}N', xy=(bsmap(123.0, 38.04)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'40\N{DEGREE SIGN}N', xy=(bsmap(123.0, 40.04)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
    
        # lon label
        #plt.annotate(u'124\N{DEGREE SIGN}E', xy=(bsmap(124.3, 30.90)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'126\N{DEGREE SIGN}E', xy=(bsmap(126.3, 30.90)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'128\N{DEGREE SIGN}E', xy=(bsmap(128.3, 30.90)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'130\N{DEGREE SIGN}E', xy=(bsmap(130.3, 30.90)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'132\N{DEGREE SIGN}E', xy=(bsmap(132.3, 30.90)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
    
        # time label
        plt.annotate('VALID :'+times[i] + ' UTC', xy=(0.0, -0.03), color='red', fontweight='bold', textcoords='axes fraction',verticalalignment='left',xycoords='data', size=15)
        plt.annotate(local_dt[i] + ' KST', xy=(0.092, -0.055), color='black', fontweight='bold', textcoords='axes fraction',verticalalignment='left',xycoords='data', size=15)
        
        plt.annotate('TIME :'+times[0] + ' UTC', xy=(0.7, -0.03), color='red', fontweight='bold', textcoords='axes fraction',verticalalignment='left',xycoords='data', size=15)
        plt.annotate(local_dt[0] + ' KST', xy=(0.780, -0.055), color='black', fontweight='bold', textcoords='axes fraction',verticalalignment='left',xycoords='data', size=15)

        plt.savefig('BS_temp' + times[i] + 'h _' + str(int(dep[depcount])) + 'm_layer' + '.png')
        
        print('BS_temp_' + times[i] + 'h_' + str(int(dep[depcount])) + 'm_layer' + '.png' + '    SUCCESS!!')
    
        #plt.show()
        

## 동남해역 염분 매핑 ##

dep = [0,10,25,50,75]
depnum = [18,16,15,13,12] #surface / 10m / 25m / 50m / 75m


for i in range(0,timelen,1):
    depcount = -1
    for j in depnum:
        
        #print(j)
        depcount += 1
        
        # fig Size
        fig = plt.figure(figsize=(10, 12.5))
        ax  = fig.add_subplot(111)

        # style
        plt.style.use('seaborn-darkgrid')
    
        # define font size
        plt.rc("font", size=15)
        plt.rcParams['font.family'] = 'sans-serif'
        plt.rcParams['font.sans-serif'] = 'New Century Schoolbook'
        plt.rcParams["font.weight"] = "bold"
        plt.rcParams['axes.labelsize'] = 26
        plt.rcParams['xtick.labelsize'] = 26
        plt.rcParams['ytick.labelsize'] = 26
        plt.rcParams["axes.labelweight"] = "bold"
        plt.rcParams["axes.titleweight"] = "bold"
        plt.rcParams['contour.corner_mask'] = False
        plt.rcParams.update({'figure.autolayout': True})
        
        
        #vector extract
        var = ncfile.variables[u'salinity'][i,j,:,:]
        
        var = switch(var,j) #마스크 계산 함수 호출...
        var = np.ma.array(var, mask = var <= 0.0)

        cc = plt.contour(BS_X, BS_Y,var,sa_cont_tick, linewidths=1,cmap=vcmap)
        bsmap.contourf(BS_X,BS_Y,var,sa_conf_tick,cmap=cmap_jet1,vmin = 25.0, vmax = 35.0, extend='both')
        
        plt.clabel(cc, inline=True, fontsize=12, fmt ='%2.1f',  colors='k',inline_spacing=3.0)

        # FILL POLYGON COLOR AND PLOT BOUNDATY LINE
        BSPATCH = BSPOLY(bsmap)
        JPPATCH = JPPOLY(bsmap)
        
        ax.add_collection(PatchCollection(BSPATCH, facecolor= 'lightgray', edgecolor='k', linewidths=0.5, zorder=1))
        ax.add_collection(PatchCollection(JPPATCH, facecolor= 'lightgray', edgecolor='k', linewidths=0.5, zorder=1))
        
        #color bar
        colorbar = bsmap.colorbar(location='right',size=0.25, ticks=sa_cbar_tick, cmap=cmap_jet1,extendrect='False')
        colorbar.ax.set_yticklabels(colorbar.ax.get_yticklabels(), fontsize=11)
    
    
        # white background gray fill contin
        bsmap.drawparallels(np.arange(-150, 120, 2), labels=[0,0,0,0], dashes=[2,2], color='lightgray')
        bsmap.drawmeridians(np.arange(-180, 180, 2), labels=[0,0,0,0], dashes=[2,2], color='lightgray')
        bsmap.drawmapboundary(fill_color='white')

        
        plt.title('Salinity(psu)', loc='left', size=20)
        plt.suptitle('[depth : ' + str(int(dep[depcount])) + 'm]', x=0.255, y=0.863, size=15)
        
        # lat label
        #plt.annotate(u'32\N{DEGREE SIGN}N', xy=(bsmap(123.0, 32.04)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'34\N{DEGREE SIGN}N', xy=(bsmap(123.0, 34.04)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'36\N{DEGREE SIGN}N', xy=(bsmap(123.0, 36.04)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'38\N{DEGREE SIGN}N', xy=(bsmap(123.0, 38.04)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'40\N{DEGREE SIGN}N', xy=(bsmap(123.0, 40.04)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
    
        # lon label
        #plt.annotate(u'124\N{DEGREE SIGN}E', xy=(bsmap(124.3, 30.90)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'126\N{DEGREE SIGN}E', xy=(bsmap(126.3, 30.90)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'128\N{DEGREE SIGN}E', xy=(bsmap(128.3, 30.90)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'130\N{DEGREE SIGN}E', xy=(bsmap(130.3, 30.90)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
        #plt.annotate(u'132\N{DEGREE SIGN}E', xy=(bsmap(132.3, 30.90)), color='lightgray', fontweight='bold', xycoords='data', horizontalalignment='center', verticalalignment='top', size=9)
    
        # time label
        plt.annotate('VALID :'+times[i] + ' UTC', xy=(0.0, -0.03), color='red', fontweight='bold', textcoords='axes fraction',verticalalignment='left',xycoords='data', size=15)
        plt.annotate(local_dt[i] + ' KST', xy=(0.092, -0.055), color='black', fontweight='bold', textcoords='axes fraction',verticalalignment='left',xycoords='data', size=15)
        
        plt.annotate('TIME :'+times[0] + ' UTC', xy=(0.7, -0.03), color='red', fontweight='bold', textcoords='axes fraction',verticalalignment='left',xycoords='data', size=15)
        plt.annotate(local_dt[0] + ' KST', xy=(0.780, -0.055), color='black', fontweight='bold', textcoords='axes fraction',verticalalignment='left',xycoords='data', size=15)

        plt.savefig('BS_sa' + times[i] + 'h _' + str(int(dep[depcount])) + 'm_layer' + '.png')
        
        print('BS_sa_' + times[i] + 'h_' + str(int(dep[depcount])) + 'm_layer' + '.png' + '    SUCCESS!!')
    
        #plt.show()

[Github]

결과

염분

염분

수온

참고문헌

[논문]

없음

[보고서]

없음

[URL]

없음

블로그에 대한 궁금하신 점을 문의하시면 자세히 답변드리겠습니다.

E. sangho.lee.1990@gmail.com & saimang0804@gmail.com

저작자표시 비영리 변경금지

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[Python] 파이썬 MOHID 해양순환모델 결과 (남동해역 유속, 수온, 염분)를 이용한 가시화

정보

내용

[특징]

[기능]

[활용 자료]

[자료 처리 방안 및 활용 분석 기법]

[사용법]

[사용 OS]

[사용 언어]

소스 코드

[Github]

결과

참고문헌

[논문]

[보고서]

[URL]

'프로그래밍 언어 > Python' 카테고리의 다른 글

전체 카테고리

블로그 인기글

전체 방문자

티스토리툴바

정보

내용

[특징]

[기능]

[활용 자료]

[자료 처리 방안 및 활용 분석 기법]

[사용법]

[사용 OS]

[사용 언어]

소스 코드

[Github]

결과

참고문헌

[논문]

[보고서]

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