Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Katariina_Nykyri_072817_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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Cluster-1 | | | | - | Cluster-2 | | | | - | Cluster-3 | | | | - | Cluster-4 | | | | - | GOES-8 | | | | - | GOES-11 | | | | - | GOES-12 | | | | - | Geotail | | | | - | THEMIS-A | | | | - | THEMIS-B | | | | - | THEMIS-C | | | | - | THEMIS-D | | | | - | THEMIS-E | | | | - |
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View standard CCMC run page. | ?? |
Event Date | | December 25, 2015 |
Start Time | | 07:15 |
End Time | | 2015/12/25 09:00 |
Key Words | | substorm |
Model | | SWMF |
Model Version | | v20140611 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -31.51 |
Dipole Tilt, in Y-Z GSE plane, deg | | -4.66 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 122.30000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Katariina_Nykyri_072817_1 |
Minimum Dst Value | | 0 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | YES, plot them |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUARnJpIEphbiAxOSAxNzoxNzo0MiBFU1QgMjAxOHvhuKgAAAGydEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoiS2F0YXJpaW5hX055a3lyaV8wNzI4MTdfMTogU1dNRiBwbG90IG9mIHJobyBhbG9uZyBDbHVzdGVyLTEgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMTAtMDEtMDFUMDA6MDA6MDAuMDAwWiIsICJtYXgiOiIyMDEwLTAxLTAyVDAwOjAwOjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzIyLCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6My4xNjQ0OTk5OTk1LCAibWF4IjoyNS45ODk1MDAwMDA1LCAidG9wIjo1MiwgImJvdHRvbSI6MjM1LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IiIgfQogIH0KIF19Qr+OYQAAAARnQU1BAACvyDcFiukAAB9zSURBVHic7d1/cBR3+cBxCliSUPGCQJqUBlLEFodSi+0MGJzSNNAy0Jb+GIVabTuxRqdmGp3yqwFG/FF/TKFQOwRERh2VUlBL/QGO1mbUyohJURsLwtBCpAgJ0C8QaghNk+9j1u9+t3u7m7vLh+Rz+7xffzB7m93PfZ597vZ57m65G9AFAAAAowb09wQAAADihgYLAADAMBosAAAAw2iwAAAADKPBAgAAMIwGCwAAwDAaLAAAAMNosAAAAAyjwQIAADCMBgsAAMAwGiwAAADDaLAAAAAMo8ECAAAwjAYLAADAMBosAAAAw2iwAAAADKPBAgAAMIwGCwAAwDAaLAAAAMNosAAAAAyjwQIAADCMBgsAAMAwGiwAAADDaLAAAAAMo8ECAAAwjAYLAADAMBosAAAAw2iwAAAADKPBAgAAMIwGCwAAwDAaLKgzYAAP++x2ITK4c+fO8ePH9zjyhbjr/npA8kQALiieYOgj7tm830/rGU+g32cOx4VIxLRp037605/2y13TYBkUy6CQpXgs4h2npJdffrmwsPDxxx9Pcft+J5O5+eabOzs7fSujd7kQM5E5LFy4MJFI5OfnL1682J3SgHcaNmyYs37Hjh1lZWU5OTlywCsqKk6cOOGsf/XVV+fMmZPoJgty0ztzhy+cwPHDBA4S5tSpUxLL+PHjc3NzJa7bb7/9+eefb2lpGTVq1Llz59zN5s6d6y63tbWNHDlStpG7+MAHPuBNjSxPmDDB22p7pTIfd8debpBMjps3IoMj98uYXnv37r3zzjuHDx9+8cUXX3fddVu3bu3N/ZqabY9578vzjFXnNMQGjyr8/8ll586dBQUFP/rRj1Lc3gYymfnz53/rW9/yrYze5ULMZN26dZMnT36tmyxs2LAheZtVq1Y98sgjzvKMGTO2b9/e2tra3NxcWVk5e/ZsZ/3UqVNramr+p9uSJUvkZurz944fLcWDIM3rgw8+uH///vb2dumZnnnmmRtuuEHWS6e1ZcsWZ5uTJ08OHDjw+PHjzs1NmzbJX527kHL+s5/9zB3t2WeflTW9fy/zQjRYKe6SdQ2W5E6e1PKSqampSTrIP/3pT3fddVdv7tfsbGmwEGM8qvDfk8uvf/3rSy+99De/+Y27ft++fXIulhe+8uL+jjvucCpo8lsOgZs5W0q9Hz169EUXXdTlOYV5F2pra8eMGZOTkzNlypTGxsboAcMmL43IlVdeKS/TfRF95CMfefrpp92VUmAKCwtPnTrlTqChoeGyyy5bvXp1xJaBIQSSTkgaJmdZFkpLS30bSI9SUlLy+uuvJ+975syZoUOHOst5eXly01k+ffq03EwOOXACEeMnSx4kcNjc3Fw5DsnrpVWaM2eOs/zzn/9c9n3uueecmzNnzpS/OgNKE+Y9DpLlrVu3pt5gyQbf+MY3Ro0aJQ+Ghx56SAL07Sgdw8MPP1zQTRact6Ci3xVLd5fkx0DggzZwWJ+IZ0r0IBF3+pnPfEYGlO3lQAXGe88993zlK18JO7y+Bd/N559//tprr5U7lbt2XjAkH6i33377y1/+8tixY/Pz8x944IGzZ88GHrcwYY+B5DvyDdjjwQyb2FtvvbVs2bLi4uJEIuG8VZ98XxGJcOcQdtKICBba0GDhP2eNH//4x5dffvlLL73kXT9p0qQXXnjh3//+t5w1Pve5z33qU59yt09xs9tvv/3IkSO+vbwLc+fOPXjwoJz7VqxY4VbisAHDJi//1tXVXXfddefPn/eu/NWvfjVhwgQ5zzorKyoqvv71r7t/lbZg5MiR27Zti94yMIRAcqJ3z/ItLS1y+vZtICVKTvSB+8o0pk+f7izffffdy5cvl9ilcVy6dKncDAw5WcT4yVJssGbNmvXRj370xRdflHR418uhlnLS3Nwsy4sXL5amauHChbIs7Z206U4iZEA5pOPHj//jH//Y1Z0jWZY1aTVY5eXlr3eThS9+8Yu+HaVSyvrD3W688UY5bj2OnO4uyY+BwAdt2LBePT6hIuYWeKfy8JAEHekmKQgMQVoE76fMvtACY3dvSorlzCDthXQP8qQI3HjlypU33XTTa6+99sYbb9x7771f+MIXAo9bmNTfwfIN2OPBDJuYtJvyXDtw4ICsr66uDryviES4cwg7aQAuGiz856wxePDgn/zkJxHbnD59Wl63udunuNmhQ4e895K8cPToUWf5zTffzM3NjR4wbPLOwoIFC5YsWeJbef311zufeO7fv1/GkXtx/vrUU08VFRX9+c9/dscJ2zIwhEADBw50OzxZGDRokPevciJ+//vfv2fPnuQdd+/eXVJSIq/InZvSTIwZM8Z5PS0LySUqcBoR4wfqsblxyPGXYnPNNdfk5ORcccUVjzzyiPsaXV7ZP/HEE13d7xTu3LnTqfqPPfaYrPfexfr162+77bau7k8bv/3tb3e98wEQ/W6TrHzllVec5b///e/jxo3zTV6m5G7Q2NiYvEGydHdJfgwEPmjDhg0T+ISKmFvYnbpv3MqOgSHIU7utrS0sNN+C76a86HryySf/+c9/Bv7VcdVVV/3jH/9wlo8dOyaPWHcz73ELk1aDFTZg4MEMm9j73vc+9y3AsPuKSIR3DoEnDcBFg4X/nDU2btw4fPjw3/3ud9719fX1ZWVl+fn5Tv1zOwbfyShiM+8FzoENlm8a0QOGTd5ZaG9v/9CHPvSHP/zBu3Lbtm1XXnllR0fH/PnzpVS4u8gJ1O3GorcMDCFQ9DtYmzdvvvXWW5P3qqurKy4u3rVrl7tGXjrL3NxrsORmWMipjB8mxQbLJcdBWpz77rvPvVbsL3/5ywc/+EE57BMnTpSb8mr+3LlzcgxlvfcuZGVhYeGmTZvkX/fzuBTnIBu4zYEsSJPn21HWRG+QLN1doh8DPc7Eq8cnVIpz827vfnol2xt/B+ull16aO3fue9/73vHjx7sff/s2lm7P2yXLywx3M99xC2yj02qwvAP2eDDDJuY9yGH3FZEI7xwCTxqAiwYL/z25PPfcc3K2cq+kEfK67fvf//7JkyflDCL/uucg30UVYZuFnbV73CBswIjJO+RFp5T5M2fOuCvlbHj11VcvWLBg7Nix3it4Dh8+LC9kv/nNb7r7hm0Zdl/Joq/Bkl7kxRdf9O0iXVFRUVFDQ4N3pRSGDK7BChw/QroNlkN6vne/+93eO12/fr3z4dH999//+OOPX3PNNcl38bWvfW3w4MHuByhpNVjuGwmykPo7WBHX/WTwDlYqN1N5B6vHZ0qKc/Nu3+M7WPfcc89jjz0WHZo0EO67L0ePHvWNI0+NX/ziF5deeqlz03dspcM4ePBgxODRIjbz3ZFvyx4PZtjEpFlMfgfLd18pJiLwpAG4aLDw/2eN3//+9/Jq9bvf/a5zU06pzz77rLxEllfAd911l7vZyJEjvR9FhW2WcYMVNmD05B1r1qy57777vCuliZGb3/nOd3y7HDlyRE7B3toTtmXYTZ/a2tqw/0X4y1/+8sMf/rBv+5UrVxYXF3uvzXdIo7Z06VLnHaxHH300+WL55GkEjh8txfcSbrjhhmeeeebYsWPnz5+XuCorK2fNmuX+9YknnpAHzA9+8ANZ/t73vnfJJZc4HxpGDNiVZoM1c+ZM5xosWUi+Xqqmpsa9VqasrEyOm7Pe9xD1Ctullw1W2LBePT5TUpybd3v3Gqybb745MIT9+/fL/a5atUrGlLvetWtX8v8ilMfYihUrzp49Kym+7bbb3PXz5s2TPkNaB2mw5JWAs9J3bFevXi1zljWy2csvv/yxj30s+nj6RGzmuyPflj0ezLCJffWrX50+fbrs5b0Gy3dfqT9Ikk8aqceO2ONxgHecDv72t7/JmdR5a0fKtrQg73rXu6QPePLJJ93NpDNIJBLuzbDNMm6wwgbscfJd3a8pfZVm69at8pr1rbfeSt5FXqxPmDDhS1/6Uo9bBt70kbuW17LO91ctWrTI+1HCtGnTnKvpfaP5tLa2dnVXxFtuueU93aR8HjhwIGyX6PHDhA0SGN1vf/vbO+64Iz8/Pycnp6Sk5KGHHjp58qT715aWFkmTFCFZPnjwoCzLmugBu8IfAIFbOv+LUCbw2c9+1vufuZyFtra2qqoq5397yYL7sY7vIeoVtksvG6ywYb16fKakODfv9p/+9Kfl4MghkoexjBwYgrQOkkQ5IBdffPH111+f/D1YjY2NU6ZMcf634Nq1a931Tz/9tExY1l977bUvvPCCs9J3bN9++22J5aqrrhoyZMjVV1/tPg5TSW7g49DluyPfNj0ezLCJyUsFed0yevRoOW7SdwbeV+oPkuSTRiqxQwkeB4i5W2+9ddOmTWa3RN+gUKVOXhpJB9zfs+hnHR0dgwcP7st75KSBCJy/EFvyEnb9+vXy4tX9r9S93xJ9iQarR9XV1UePHj106NBNN930+c9/vr+n08/q6+vd/y14oXHSQI84fyE7JH+glspnEGPHjpVzbiqDp7hlZjPpe1kxyR5l45z72OrVq0ePHj1q1KgHH3yQrwm45JJL1q5d2zf3ldZJAzpx/gIAADCMBgsAAMAwGiwAAADDaLAAAAAMo8ECAAAwjAYLAADAMC0NVuD/WgcAAH2svzuCPqImTjUZBQDAWnrKsZo41WQUAABr6SnHauJUk1EAAKylpxzbEueOHTvKyspycnIKCwsrKipOnDjhrDf1wa2ejAIAYC095diWOGfMmLF9+/bW1tbm5ubKysrZs2c7601lQk9GAQCwlp5ybGOcZ86cGTp0qLNMgwUAQGzoKcc2xrlt27bp06c7y5KJESNG5OXlTZw4cc2aNR0dHZmNqSejAABYS085ti7O3bt3l5SU7Nu3z7vy3Llz9fX1paWl1dXVEfvyxRsAANhMTzm2K866urri4uJdu3YF/rWpqSmRSGQ2sp6MAgBgLT3l2KI4N2/eXFRU1NDQELbB4cOHCwoKMhtcT0YBALCWnnJsS5wrV64sLi7eu3evb/28efMaGxvb29v37NlTXl5eVVXl/imtJOnJKAAA1tJTjm2JM/mSqdbWVlm/ZcuWSZMmDRkyZNy4cTU1NW1tbd5d0hrf/KQBAEA69JRjNXGqySgAANbSU47VxKkmowAAWEtPOVYTp5qMAgBgLT3lOM5x8j1YAABYRU85VhOnmowCAGAtPeVYTZxqMgoAgLX0lGM1carJKAAA1tJTjtXEqSajAABYS085VhOnmowCAGAtPeVYTZxqMgoAgLX0lGM1carJKAAA1tJTjuMcJ9+DBQCAVfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzlWE6eajAIAYC095VhNnGoyCgCAtfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzlWE6eajAIAYC095TjOcfI9WAAAWEVPOVYTp5qMAgBgLT3lWE2cajIKAIC19JRjNXGqySgAANbSU47VxKkmowAAWEtPOVYTp5qMAgBgLT3lWE2cajIKAIC19JRjNXGqySgAANbSU47VxKkmowAAWEtPOY5znHzRKAAAVtFTjtXEqSajAABYS085VhOnmowCAGAtPeVYTZxqMgoAgLX0lGNb4tyxY0dZWVlOTk5hYWFFRcWJEyec9Z2dnQsXLkwkEvn5+YsXL5abmY2vJ6MAAFhLTzm2Jc4ZM2Zs3769tbW1ubm5srJy9uzZzvp169ZNnjz5tW6ysGHDhszG15NRAACspacc2xjnmTNnhg4d6ixPnTpVGi9nWRZKS0szG1NPRgEAsJaecmxjnNu2bZs+fbqzPGzYsOPHjzvLLS0tiUQiszH1ZBQAAGvpKcfWxbl79+6SkpJ9+/Y5NwcOHHj+/HlnWRYGDRoUse+ASBd86gAAIJKecmxXnHV1dcXFxbt27XLX8A4WAACxoaccWxTn5s2bi4qKGhoavCu5BgsAgNjQU45tiXPlypXFxcV79+71ra+trQ37X4RpJUlPRgEAsJaecmxLnMmXTLW2tnZ1fw/WggULEt0WLVrk/R4sGiwAALKLnnKsJk41GQUAwFp6yrGaONVkFAAAa+kpx2riVJNRAACspaccxzlOvgcLAACr6CnHauJUk1EAAKylpxyriVNNRgEAsJaecqwmTjUZBQDAWnrKsZo41WQUAABr6SnHauJUk1EAAKylpxyriVNNRgEAsJaecqwmTjUZBQDAWnrKcZzj5HuwAACwip5yrCZONRkFAMBaesqxmjjVZBQAAGvpKcdq4lSTUQAArKWnHKuJU01GAQCwlp5yrCZONRkFAMBaesqxmjjVZBQAAGvpKcdq4lSTUQAArKWnHMc5Tr4HCwAAq+gpx2riVJNRAACspaccq4lTTUYBALCWnnKsJk41GQUAwFp6yrGaONVkFAAAa+kpx2riVJNRAACspaccq4lTTUYBALCWnnKsJk41GQUAwFp6ynGc4+R7sAAAsIqecqwmTjUZBQDAWnrKsfk429rali5dOm7cuJycHPl3+fLl586dM34v6dKTUQAArKWnHJuPs6qqqqysrLGxUTot+ffGG298+OGHjd9LuvRkFAAAa+kpx+bjLCgoOHz4sHtTlmVNSlMJuljK1HVUejIKAIC19JRjixqs/04oqcEyMis9GQUAwFp6yvEF+YiwvLz8lVdeaWtrk39lOa2PCGmwAACIKz3l+IJc5F5TU3PFFVfk5OTIv8uWLUvrIvfkBmvEiBF5eXkTJ05cs2ZNR0dHZrPSk1EAAKylpxxbF2fgoZcWrb6+vrS0tLq6OnrfCBdsygAAICV6yrF1cUYc+qampkQiYXxYAADQN/SUY/NxNjY2lpaW5ubmZvbuUcTG6V4vn+KwAACgb+gpx+bjnDJlyooVK958883Mdvcd+nnz5knH1t7evmfPnvLy8qqqqrAt0xoWAAD0PT3l2HycOTk5Z8+ezWQqQZdMbdmyZdKkSUOGDBk3blxNTU1bW5t3+7QGz2BKAADAID3l2HycY8aMOXjwoPFhe0lPRgEAsJaecmw+zrVr186dO/fo0aPGR+4NPRkFAMBaesqxsa/xtPwrEmyYAwAAyukpx3GO07YmDwAA5fSUY/NxXnTRRcbH7D09GQUAwFp6yrH5OC+77LJ//etfxoftJT0ZBQDAWnrKsfk4V61adeeddx46dKizs9P44BnTk1EAAKylpxybj5OL3AEAQCA95VhNnGoyCgCAtfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzmOc5y2XQcGAIByesqxmjjVZBQAAGvpKcdq4lSTUQAArKWnHKuJU01GAQCwlp5yrCZONRkFAMBaesqxmjjVZBQAAGvpKcdq4lSTUQAArKWnHKuJU01GAQCwlp5yHOc4+R4sAACsoqccq4lTTUYBALCWnnKsJk41GQUAwFp6yrGaONVkFAAAa+kpx2riVJNRAACspaccq4lTTUYBALCWnnKsJk41GQUAwFp6yrGaONVkFAAAa+kpx3GOk+/BAgDAKnrKsZo41WQUAABr6SnHauJUk1EAAKylpxyriVNNRgEAsJaecmxRnIEXS3V2di5cuDCRSOTn5y9evFhuZjy4iTkCAIDM6SnH1sXpO/Tr1q2bPHnya91kYcOGDUaGBQAAfU9PObYuTt+hnzp16vbt251lWSgtLTUyLAAA6Ht6yrF1cfoO/bBhw44fP+4st7S0JBIJI8MCAIC+p6ccWxen79APHDjw/PnzzrIsDBo0KHrfCBdw0gAAIAV6yrF1cfIOFgAAcaWnHFsXJ9dgAQAQV3rKsXVx+g59bW1t2P8iTCtJejIKAIC19JRji+IMvGSqs7NzwYIFiW6LFi3yfg8WDRYAANlFTzlWE6eajAIAYC095VhNnGoyCgCAtfSUYzVxqskoAADW0lOO4xwn34MFAIBV9JRjNXGqySgAANbSU47VxKkmowAAWEtPOVYTp5qMAgBgLT3lWE2cajIKAIC19JRjNXGqySgAANbSU47VxKkmowAAWEtPOVYTp5qMAgBgLT3lOM5x8j1YAABYRU85VhOnmowCAGAtPeVYTZxqMgoAgLX0lGM1carJKAAA1tJTjtXEqSajAABYS085VhOnmowCAGAtPeVYTZxqMgoAgLX0lGM1carJKAAA1tJTjuMcJ9+DBQCAVfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzlWE6eajAIAYC095VhNnGoyCgCAtfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzlWE6eajAIAYC095TjOcfI9WAAAWEVPOVYTp5qMAgBgLT3lWE2cajIKAIC19JRjNXGqySgAANbSU45tj9PUdVR6MgoAgLX0lGPb4zSVCT0ZBQDAWnrKse1x0mABABAbesqx7XFKJkaMGJGXlzdx4sQ1a9Z0dHRkPI7ZiQEAgHTpKcfZEee5c+fq6+tLS0urq6sjNhsQqc9mCwAAAukpx9kUZ1NTUyKRyGxfPRkFAMBaespxNsV5+PDhgoKCzPbVk1EAAKylpxzbHue8efMaGxvb29v37NlTXl5eVVXl/imtJOnJKAAA1tJTjm2Pc8uWLZMmTRoyZMi4ceNqamra2trcP9FgAQCQXfSUYzVxqskoAADW0lOO1cSpJqMAAFhLTzlWE6eajAIAYC095TjOcfI9WAAAWEVPOVYTp5qMAgBgLT3lWE2cajIKAIC19JRjNXGqySgAANbSU47VxKkmowAAWEtPOVYTp5qMAgBgLT3lWE2cajIKAIC19JRjNXECAAAL9HdH0Ee0xNllums2/hBhQNsGtHx6DGjbaAxo4YCWT48B401LnF08bxmwX0djQAsHtHx6DGjbaAxo54DW0hJnF89bBuzX0RjQwgEtnx4D2jYaA9o5oLW0xNnF85YB+3U0BrRwQMunx4C2jcaAdg5oLS1xdmlKqlqkOPZIceyR4tjTk2ItcXZpSqpapDj2SHHskeLY05NiLXF2aUqqWqQ49khx7JHi2NOTYi1xdmlKqlqkOPZIceyR4tjTk2ItcXZpSqpapDj2SHHskeLY05NiLXECAAD0GRosAAAAw2iwAAAADKPBAgAAMIwGCwAAwDAaLAAAAMNosAAAAAzL1gars7Nz4cKFiUQiPz9/8eLFcjN6val90Wci0vHXv/515syZQ4cOLSoq2rhxY+r7kmLbDPg/3pU7duwoKyvLyckpLCysqKg4ceJE8o6kOFsEpvjVV1+dM2dOopssyM3kHUlxVqAWR8jWBmvdunWTJ09+rZssbNiwIXq9qX3RZ8LSsW/fvssvv/yHP/zhG2+80dTUNH/+/NT3JcV28lXfGTNmbN++vbW1tbm5ubKycvbs2cm7kOLs4kvx1KlTa2pq/qfbkiVL5GbyLqQ4K1CLI2RrgyVPSDkFO8uyUFpaGr2+y/MMz2Bf9L2wdEhH9dRTTwXuQoqzVMQ3O585c2bo0KHJW5Li7OJLcV5enmTWWT59+rTcTN6SFGcFanGEbG2whg0bdvz4cWe5paUlkUhEr+/yJDWDfdH3wtJRUFCwbNmywsLC4cOHf/KTn5RXwO4upDhLRTRY27Ztmz59evKWpDi7+FJ89913L1++/NSpU/L8Xbp0qdxM3pIUZwVqcYRsbbAGDhx4/vx5Z1kWBg0aFL3e1L7oM2HpkIV77723udu8efPuv//+1PclxXYKa7B2795dUlKyb9++5D+R4uziS/Hrr78+ZswY59osWThy5EjyLqQ4K1CLI2Rrg9Wbzjf2XXM8RKRJbjrL0mONGDEirX1JsYUCG6y6urri4uJdu3YF7kKKs4svxeXl5UuWLHGvwZKbybuQ4qxALY6QrQ1Wbz67jf3nvvEQlo5p06ZJX+UsHzt2LLDBIsXZJbnB2rx5c1FRUUNDQ9gupDi7+FKcm5sbdg2WixRnBWpxhGxtsGprawP/l0HY+i7PMzyDfdH3wtKxcePGj3/84+5HhA888IC7CynOUr7qu3LlyuLi4r1790ZsSYqzS/L/Ily6dKnzDtajjz4aeAU0Kc4K1OII2dpgdXZ2LliwwPkalUWLFnm/PyNwfZcnqRnsi74XkY7ly5ePGDEiPz//E5/4ROBF7qQ4Wwx4p8CVorW11f2Ts0CKs0Vgivfv33/LLbe8p9usWbMOHDjg3d5ZIMVZgVocIVsbLAAAAGvRYAEAABhGgwUAAGAYDRYAAIBh2dpghf0cbMSPRAb+5miKPyqZ7rBmdwcAwELxqMWp/MB8BrK1rof9HGyPPxLpO/op/qhkusOa3R0AAAvFoxan8gPzGYhDXff+HGyPX1CW/HUsqXyhWbrDmt0dAADLxaAWdyX9wHxvxKGue38Otsev2Pcd/RS/kj/dYc3uDgCA5WJQi7uSfmC+N7K+rvt+DrbHH4n0Hf0Uf1Qy3WHN7g4AgM3iUYsjfmA+A9ld15N/DtZU1+y7XC7dYXu5OwAA2SIetTj6B+YzkMV1PfDnYLP0c18aLABANopHLe7xB+YzkK11PeznYHv8kUjf0U/xRyXTHdbs7gAAWCgetTjiB+Z7I1vruv/HYP/v52Cjf2DSy1mZ4o9Kpjus2d0BALBQPGpxWBS9PTi9HwIAAABeNFgAAACG0WABAAAYRoMFAABgGA0WAACAYTRYAAAAhtFgAQAAGEaDBQAAYBgNFgAAgGE0WAAAAIbRYAEAABhGgwUAAGAYDRYAAIBhNFgAAACG0WABAAAYRoMFAABgGA0WAACAYTRYAAAAhtFgAQAAGEaDBQAAYBgNFgAAgGE0WAAAAIbRYAEAABhGgwUAAGAYDRYAAIBhNFgAAACG/S+ycYd9M7YZXAAAAABJRU5ErkJggg==)
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