Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Tatiana_Niembro_100919_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | October 13, 2016 |
Start Time | | 2016/10/13 00:00 |
End Time | | 2016/10/15 00:00 |
Key Words | | solar wind |
Model | | OpenGGCM |
Model Version | | 4.0 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -11.40 |
Dipole Tilt, in Y-Z GSE plane, deg | | -13.01 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 94.80000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Tatiana_Niembro_100919_1 |
Minimum Dst Value | | -105 |
SW Source | | ACE-realtime |
Diagnostic Indices | | NO |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUARnJpIERlYyAwNCAxNjowMzozNSBFU1QgMjAyMKTEwhYAAAG2dEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoiVGF0aWFuYV9OaWVtYnJvXzEwMDkxOV8xOiBPcGVuR0dDTSBwbG90IG9mIHJobyBhbG9uZyBDbHVzdGVyLTMgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMTYtMTAtMTNUMDA6MDA6MDAuMDAwWiIsICJtYXgiOiIyMDE2LTEwLTE1VDAwOjAwOjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzIyLCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6LTEuMzg1NjE3NTAwNSwgIm1heCI6MzIuMzkwMjY3NTAwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfflsXhEAAAAEZ0FNQQAAr8g3BYrpAAAmGElEQVR4nO3df2yV5f3/8QIealdrQRnDWis2Y+AQK1tGjGG1EgwyRliDRj6MYdcRtCOEONORHdFtDh0b2YgxDTEh6P6acXONMa5hOGRlmclmJE1jSNMRmtkgqQbSEHNCmqbfd3p/vXN7n3Pf5z6n9+m5z/v9fPzR3Oc+94/ruq/rvu7XOb3POVVTAAAAiFVVuQsAAACgDQELAAAgZgQsAACAmBGwAAAAYkbAAgAAiBkBCwAAIGYELAAAgJgRsAAAAGJGwAIAAIgZAQsAACBmBCwAAICYEbAAAABiRsACAACIGQELAAAgZgQsAACAmBGwAAAAYkbAAgAAiBkBCwAAIGYELAAAgJgRsAAAAGJGwAIAAIgZAQsAACBmBCwAAICYEbAAAABiRsACAACIGQELAAAgZgQsAACAmBGwAAAAYkbAAgAAiBkBCwAAIGYELOhRVUV/RiSl6Cr9/f2NjY15t1yKXZer53PGASE4PaxLwhAZVxmSUBdUhFJ0lXvvvff06dNl2TUBK0YqK4WyoCdVvKpcwpeftbJ5d7pp06ZSl6REVQs6qgcOHKidlk6n886/fPny9u3bq6urFy5c+Nxzz+XdfsjyBRUyyODgoLRIzbSNGzfKw4grFuTSpUt79+5tbGxMpVJyQGSPJ06ciPjs0NBQe3u7zJdnJbv09vY686WOLS0tvh2tXr26oNYvxftM0lix7LoIpT6pQ9qiiK3FUtpTp061tbXJMa+rq9u5c+fFixdLtKOIiGXIRp/QI+IZXq6A1dHR8fLLL5e0JCWtmm/jx44da21t/XSaDPTyMHy+XAN27dp17dq1TCaze/fu48ePh28/7/JRChlErpdLliyRsk1Mk40vXrx4eHg4yrrRSX5qamo6dOiQHAp5KHXp6+tzc3b4s+fPn5dnpYQyXx6ePXtW4qZbR7nGnzx50t2RrChzyh6wyngClrTnh7dFERuMpbQbNmyQOC69d3Jy8siRI2vWrCnRjiIiYCEbfUIP3xk+Ojq6devWmpoaedG5cePGsbGxqS++3eVbK+fyzgIytsoIK/NXr149MDAQvnxQ2a5evbpy5UrvVTy7DCKdTi9cuFBemMogLqu4C/T09DhlkI3885//lEzQ3NzsFOnDDz90F/vd734nWUFWlzwn0cSd/9JLL0mkmDdvnjyU+V1dXc6bTDLhLlbQ4ZUU5f4/SCbWrl0bPl+K5O5IJtatWxe+/bzLRylkzjlCDs6LL77onSMPZaa7Ss7DOBXcOjl7iBxb2U5QUcOflf1KiwfV8a233pLw6s6Rg/zmm2/mrGlIl3AmcnaG8DeDC13F1/2CDleUbhlykoZvJGinkpnksMjBkUN0+PDhoN4S0ha+Cd9Dyb6rVq2S7S9dutR5kZDzQAX1K+9xC5f99mHOsc67wbwHM6hgYv/+/fX19XV1dbLBnPsKaQi3DNKHX3/9dXebFy9ebGho8O4FlY6ApYdvjJMg8q9//Ute3smLPBkOvJfPnGuFLC+Dy6effipPybXKfaUYtHxI2WR57wvN7NH5F7/4xZYtW2Rfss1du3bt3bvXXWDbtm2XLl2S3UkUkIuB9+F9993nLtbe3j4+TSakVO78nTt3uiNXd3e37MVdTB4WcXhlXJa9O9MyIQ/D53sDk1zV3PlB28+7fJRC5pwj5Jpx+fJl7xw5FHLBcFfJeRhDWidnD1m0aJFvL17hz0phZO8hdVy+fPn7778/Nd2pZDqopiFdwpkI6gwhb0gUuoqv+wUdrijdMu9JHVK2nDuVjchiUjZZXtJGzirkbYvsursPpZWd9xolvng7jHfhkH7lPW5BnEEg+w6EnKXybjDvwQwq2LPPPiuBTObLiZndoxwhDeGWob+/X9Knu8qePXsk44ZXFpWFgKVHyCVBBhF5sZVzsZxr+ZZ3r/QyX17thS8fXjYZm2TY8s10JxobG//3v/8505999pn3ku8Oi7Iv30O3SDLfXX1kZEReJrrznf9DOWS+POsuJnEtpOTZVcj50FuGnPN37Nixe/fuzDSZyD6MvhXzLh+lkAUtlvcwhrROzh7iK7PvJX5Bz2YX/ujRo4888ohMbN682X1rJOfCQV3CmQjqDCFHstBVfN0v6HAV2i1zntQhZQva6ejoqDMtE+EdI2fVfBO+h01NTS+99JLvBinfwiH9ynvcggoggv7BnV2qoA3mPJhBBWtoaHAPctC+QhrCW4Z77733tddem/r8/7DOP2GhBgFLD98ZLi/OWltba2pqnDHIfZs9aCiMa/nwsslAJq+e//3vf0/lGp2rvihvGbJX984PCj1Bi4Wb4TtYly9f3rZtW3V1tYy8PT097mAdtP28y0cpZJDs9yQksHovbN6nvIexoNbJfp8s+rN53zWRYyvXvzfffFP+Ogc8KGAF1SXiAkVsM3z5QnuvV96TtNBTILxsjpm8gzUwMCA5WLawfPnyvr6+oIUj9iuHrwzS+ocPH3bfxg6pTqEjZMSCRdlXUEOcOHHizjvvnJr+P6zz30ZoQsDSw3fqyoXnrbfempiYkGn5m3cojGv5vGUbGhpqaWmRV4TZu5Bt5ryXK/olKvztCofM9y5W3DtYvnut5GH4fK9XX311586d4dvPu3yUQgbJew9W0DtYBbVOZ2dn9r88Ij4bcr1xl5HVa2tr3Ru5gi57ed/BytkZQo5koatE7L1RumXekzRi2bzLu+9gyYo5qxClLSR8uK8rJKxnb6e/vz/ofIzYr8LlzKPhRz7vwQwqWMR3sCJ2ktWrVz/33HNLly51DyDUIGDp4Tt1Fy5c6N79sGPHDvdZuSZdunQpe62g5UPen8i5fJSyvfzyy11dXdm7OHTo0ObNm50Rf3h4OO99Y76HVdM33FydlvOGG4dz34m8KJfFtmzZUtw9WM6nBaXuOT9FmD1/z549MlPGUHkdv2zZsuz/aPi2n3f5KIXMOWdqOuPKReL48ePOh7BkQh66uwg6jIW2jlxg5DLzwgsvOP1NdiSv1yM+6/zHRPqJc/0bHByUPhZSo6D5ebtEUGfwnSZeQavMMGBF6ZZ5T9KIZfMuv3XrVuf4PPLIIzmrEKUtvvnNb0pGl0aUgm3fvt0blJ0sIgFLCu/M9B3biP3KRwYQKdjU9O2D6XQ65yuZoLHOkfdgBhXMuQdL1vLeg+XbV/RO8sYbb8hMeRHlnVlQuERi0Yp6+M5JuTA3NzfLK0sZHHt6etxnjxw5Ul1dnT2aBC0fNDQHLR+lbFPTt87k3IUMavJiTjbb0tLifsQmesA6fPiw86kf5zsOci6fyWT27t1bPU1yTN77Hnz/KXDny7Ce83uwcs6XAVTyhOxx/fr1vi+dyrn9kOULKmRQu3z44YdykXAOgm8XQYdxqvDWkYuTbEFevssqdXV1ci2XC23EZyUFOh/ykmfl+p33u5eCAlZ4lwjqDL7TxCtolRkGrCjdMu9JGrFs3uU7OztTqZQcIjlQQf8uz9sWAwMDq1evdgp29OhRd750kjvvvFM2u2rVKvdfhNnHNkq/8pEyyMKyjJRcqpDzraagsS7iwQwq2NT0PexygrufIszeV/ROIhVx/kvoRcDSgVYE8AWaBndNdSm18+fPS5godynKL8q3QsRIkusbb7wxm3vErGH0AfAFmkKJprqUSHd399WrVy9fvhz93+WKScp07xWbBa+99pr3mxqgDKMP4lSdS7kLFUlFlHx2CpnAihdNU11KpKenZ/HixTU1Nb4vlbVJjoPvBydKRzpnU1OT83VuUImABQAAEDMCFgAAQMwIWAAAADEjYAEAAMSMgAUAABAzAhYAAEDMrASsKgAAkADlTgSzxEw9zbQoAACJZedybKaeZloUAIDEsnM51lxPm+9JAgCQWHYux2bqaaZFAQBILDuXYzP1NNOiAAAklp3LsZl6mmlRAAASy87l2Ew9zbQoAJUmJiYuXLjwySeflLsgwIzYuRxrric3uQNQ46GHHpJxbMGCBWQsVDQ7l+Mk1vPUqVNtbW3V1dV1dXU7d+68ePGi+9SBAwdqp6XT6YK2aadFAagk0cp5rXjhwoVylwUonp3LcRLruWHDhhMnTkxMTExOTh45cmTNmjXO/GPHjrW2tn46TRKYPIy+TTstCkAl9834TCZT7rIAxbNzOa6AelZXVzsTkq5Onz7tTMvE2rVro2/ETosCUIm7HaCDnT6c6HpOTk6++OKLmzZtch7W1NTIHPcpeRh9U3ZaFIBKBCzoYKcPJ7eezlCyePHi4eFhd453gVQqlXMV478uCUAlhjLoYKcPJ7qek5OThw8fvu+++5yHvIMFwCwCFnSw04croJ7uO1W+e7DkYfSN2GlRACoRsKCDnT6cxHp2dXWdP39eJsbHx9PptBuknE8Rjo2N8SlCANYQsKCDnT6cxHr29va2tLRIGyxcuLCzs1MSlfuU5C2+BwuAQQQs6GCnD5upp5kWBaASAQs62OnDmuvJpwgBqMFQBh3s9GEz9TTTogBUImBBBzt92Ew9zbQoAJUIWNDBTh82U08zLQpAJQIWdLDTh83U00yLAlCJgAUd7PRhzfXkJncAajCUQQc7fdhMPc20KACVCFjQwU4fNlNPMy0KQCUCFnSw04fN1NNMiwJQiYAFHez0YTP1NNOiAFQiYEEHO33YTD3NtCgAlQhY0MFOH9ZcTz5FCEANhjLoYKcPm6mnmRYFoBIBCzrY6cNm6mmmRQGoRMCCDnb6sJl6mmlRACoRsKCDnT5spp5mWhSASgQs6GCnD2uuJze5A1DDHcoGBwfLXRageHYux2bqaaZFAajkBqxXXnml3GUBimfncpzEep46dWrdunXV1dV1dXWdnZ1jY2PO/Jm8I2WnRQGo5A59Z86cKXdZgOLZuRwnsZ6bNm06efLk5ORkJpN58sknJWw582fSKnZaFIBKCxYs4G4HKGCnDye9nhKzUqmUM03AAmDW0qVLCVhQwE4fTno9+/r6vO9g1dfXS95avnz5wYMHC9qOnRYFoBIBCzrY6cOJrufg4ODKlStHRkZ884eGhjZu3Njd3e2bXxVqtkoNAPEjYEEHO304ufXs7+9ftmzZwMBAzmfHx8dra2ujb81OiwJQiYAFHez04YTWs7e3t6mp6ezZs0ELELAAmELAgg52+nAS69nT09PY2Hju3Dnf/I6OjuHhYZkYHR1tb2/v6uqKvk07LQpApRUrVhCwoICdPpzEegbdPtXb29vS0iIPGxoauru7M5lMQdssTWEBYDa0tbURsKCAnT6suZ7c5A5ADQIWdLDTh83U00yLAlCJgAUd7PRhM/U006IAVCJgQQc7fdhMPc20KACVCFjQwU4fNlNPMy0KQCUCFnSw04c115Ob3AGoQcCCDnb6sJl6mmlRACo99NBDBCwoYKcPm6mnmRYFoFJHRwcBCwrY6cNm6mmmRQGoRMCCDnb6sJl6mmlRACoRsKCDnT5spp5mWhSASgQs6GCnD2uuJ58iBKAGAQs62OnDZupppkUBqETAgg52+rCZepppUQAqEbCgg50+bKaeZloUgEpPPPEEAQsK2OnDZupppkUBqPTzn/+cgAUF7PRhzfXkJncAahCwoIOdPmymnmZaFIBKBCzoYKcPJ7Gep06dWrduXXV1dV1dXWdn59jYmPvUgQMHaqel0+mCtmmnRQGoRMCCDnb6cBLruWnTppMnT05OTmYymSeffFLCljP/2LFjra2tn05ra2uTh9G3aadFAahEwIIOdvpw0uspMSuVSjnTkq5Onz7tTMvE2rVro2/HTosCUImABR3s9OGk17Ovr899B6umpkbyljMtE/Iw+nbstCgAlQhY0MFOH050PQcHB1euXDkyMuI89LWK+86WqyrULBUaAErADViZTKbcZQGKZ+dynNx69vf3L1u2bGBgwJ3DO1gAzHID1oULF8pdFqB4di7HCa1nb29vU1PT2bNnvTN992DJw+gbtNOiAFQiYEEHO5fjJNazp6ensbHx3LlzvvnOpwjHxsb4FCEAawhY0MHO5TiJ9Qy5fSqdTvM9WAAMeuaZZ5zx8Je//GW5ywIUz87lWHM9uckdgBr79u1zhrIbbrih3GUBimfncmymnmZaFIBK+/fv5+UiFLDTgc3U00yLAlDJvQeL0QwVzU4HNlNPMy0KQCUCFnSw04HN1NNMiwJQiYAFHex0YM315CZ3AGoQsKCDnQ5spp5mWhSASgQs6GCnA5upp5kWBaASAQs62OnAZupppkUBqETAgg52OrCZepppUQAqEbCgg50OXPJ6dnR01NXVyQGtr6/v7Ows9e6C2GlRACoRsKCDnQ5c2npu3bp1y5YtV69elWn5u3nz5u3bt5d0j158ihCAGgQs6GCnA5e2nqlU6tq1a+5Dma6uri7pHoPYaVEAKhGwoIOdDlzaekqcymQy7kMJWDU1NSXdYxA7LQpAJQIWdLDTgUtbz/b29vXr14+Pj8u0/F23bt2OHTtKuscgdloUgEoELOhgpwOXvJ67du2qra2dN29eXV1dV1dXqXcXxE6LAlCJgAUd7HRgzfXkJncAahCwoIOdDmymnmZaFIBKBCzoYKcDl7aeIyMjixcvlqM573OpVCpSsXKNIzN5R8pOiwJQiYAFHex04NLWc8mSJcePH5+cnCxu9eyAVXRJ7LQoAJUIWNDBTgcubT3lOBadrqYIWADwOQIWdLDTgUtbz/r6eu/3YBUqO2DJBlOp1PLlyw8ePDiTTQFAZSFgQQc7Hbi09Txy5EhHR8fExERxqwc1w9DQ0MaNG7u7u7OXD1FcGQAgCfbv389oBgXsdOD46zkvVMSb3P9/4YKbYXx8vLa2NpZNAUDybdmyhYAFBex04ETXk4AFAI5HH33USVdf//rXy10WoHh2Lselree8efNmsrqvGTo6OoaHh2VidHS0vb29oO+Ft9OiAFRy78F6+umny10WoHh2LselrWddXd21a9eKWDHn7VO9vb0tLS3ysKGhobu7u6Db5+20KACV3IAlE+UuC1A8O5fj0tbz0KFDHR0dn332WUn3EoSb3AGoQcCCDnYuxyX/F+FMbnKPkZ0WBaASAQs62Lkcm6mnmRYFoBIBCzrYuRybqaeZFgWgEgELOti5HJupp5kWBaASAQs62Lkcm6mnmRYFoBIBCzrYuRxrriefIgSgBgELOti5HJupp5kWBaASAQs62Lkcm6mnmRYFoBIBCzrYuRybqaeZFgWgEgELOti5HJupp5kWBaASAQs62Lkca64nN7kDUIOABR3sXI7N1NNMiwJQ6Wc/+xkBCwrYuRybqaeZFgWgz8jIyNy5cwlYUMDO5dhMPc20KAB99u3b597tQMBCRbNzOTZTTzMtCkCfNWvWELCgg53LseZ6cpM7AB0eeOABAhZ0sHM5NlNPMy0KQJ/m5mYCFnSwczlOaD2D3nY6cOBA7bR0Ol3oBuMrHQDMqq9+9asELOhg53Kc6Hr6muHYsWOtra2fTmtra5OHRW8KACrI3r17CVjQwc7lONH19DWDpKvTp0870zKxdu3aojcFABVk0aJFBCzoYOdynOh6+pqhpqZmcnLSmZYJeVj0pgCggng/r0PAQkWzczlOdD19zeB7mEqlspcPUfLiAkBp3H333QQs6GDncpzoevIOFgBcuXJl6dKlBCzoYOdynOh6ht+DJQ+L3hQAVIp3332XfxFCDTuX40TXM+enCMfGxvgUIQA7hoeHr7vuOgIWdLBzOU5oPYNun0qn03wPFgBTent7eQcLati5HGuuJze5A1DgBz/4gTOIzZkzh4CFSmfncmymnmZaFIAyt9xyixOwVq9eTcBCpbNzOTZTTzMtCkCT2267zX0bfuvWrQQsVDo7l2Mz9TTTogDUuPnmm733OTz11FMELFQ6O5djM/U006IAdPj444+96Wr+/PkSrQhYqHR2Lsdm6mmmRQHo8Pjjj7vpqr6+/r333iNgQQE7l2PN9fR9ivCee+45c+ZMuQsFAJGsWLHCGbsaGhqcOQQsKEDA0sYZp+6///5yFwQAIlmyZIkzcP34xz925hCwoAABSxtnnFq1alW5CwIAkbi/P/jOO+84cwhYUICApY0zThX0+9AAUEYPPPCAjFrNzc2ffPKJM4eABQUIWNq4d2J98MEH5S4LAOTn/P6g/HXnELCgAAFLg6pcDh8+XO5yAUB+c+fOdUYtd87dd98tD1esWFHGUgEzRMDSxg1Y+/btK3dZACC/zZs3y5C1adMmd447jpWxVMAM2enAZur5Oe5zB5B8H3300Y033ihD1r333uvObGhokDmLFi0qY8GAGSJgaeMGLO5zB5B8f/jDH3xfgiWefvppmbN///4yFgyYIQKWNt7bsNyP5ABAMjk/Oyhuv/12dyY3uUMBApYGvtvb582b50y899575S4aAIQ5evSoM151dHS4MwlYUICApY20qPu79O639gFAMl25csV5Tfjxxx+7MwlYUICAlUS+d6QKXffhhx92VlywYMGvfvWrEhUSAGauu7tbBqvrr7/+3Llz7kwCFhQgYCXRTFpF1v3Rj37khrPa2toYCwYA8Vq9erUzWL3yyivuTAIWFCBgJdEMA9b+/fu9b4BNTEzEWDYAiNGDDz5YNf017t57RglYUICAlUTSKvX19alUavny5QcPHix03Uwm4w1YFy5cKE0xAWCm9uzZI8PUtm3bvDMJWFCAgJVoQ0NDGzdu7O7u9s2vCuVdYO7cud5bRwEgURYtWuQMVtzkDmUIWEk3Pj5e0H1UTot+7Wtfc8as9evXl6xoADBTN9xwQ/Z77QQsKEDASrriAtZf/vIXZ8ziFwkBJJbz/0Fx9913e+8WJWBBAQJWEnV0dAwPD8vE6Ohoe3t7V1dX9HXdFmWEApBwd9xxhxOw7rrrLu98hi8oQMBKot7e3paWlqrpH+fq7u7OZDLR13Vb1Pkxr8cff7w0ZQSAmaqvr3cC1vz5873zCVhQgIClQfZN7uKee+6R6Tlz5khK+973vldQSgOAWeDe4U7Agj4ELG3cFnXfe+fLGgAkU3t7uzNAPfroo975BCwoQMDSxm1R9zfqHaOjo+UtGAD4NDQ0yOh00003+d5iJ2BBAQKWNm6LDg4OegOW92coACAJfDc2uAhYUICApY3bovKK8LrrrnPHrz/+8Y/lLRgA+Nx0000yOt1yyy2++QQsKEDA0sbborfeeqsbsLjJHUCivPfee87o1Nzc7HuKgAUFCFga5PwUYV9f37x589yZg4OD5S0kAHgdP37cGZ14BwsqEbC0qfriF426Cv3RaAAoqWeeecYZnb71rW/5niJgQQECljbed7C8Aev+++8va7kA4AskVzmj065du3xPEbCgAAFLG7dFr1y54g1Y99xzT3kLBgCuVatWhXzGmYAFBQhY2rgt+u6773oD1m233VbeggGAa86cOe7o9MEHH/ieJWBBAQKWBjlvcj979qx3ZiqVKm8hAcDx/vvve0en7N+ZIGBBAQKWNt4W/f3vf//YY4+5o9iVK1fKWDAAcHznO99xx6UFCxZMTEz4FiBgQQECljbZLVpbW+sMZH/961/LUiQA8KqurnYGpZtvvjnnN8gQsKAAAUub7Ba98cYbnbHsjjvuiGsvAwMDZ86ccV93fjQtro0DUMz7+Zvnn38+5zJOwJL4dd111zU1NfE9yahEBCxtslu0paXFGcvmzJkTyzi1cOHCqlxqa2vnTuMTiwCCHD161B2RPvnkk5zL+L7GL5VKZf8bEUg4ApY22S3697//3R2nivgs4dWrV3/961+vWLFCRkMJT97P/oSQF53Okg0NDVFGRlnmt7/97bp16376058WWkIAFWTlypXOKFFfXx+0zPr163MOLDKq3H777byhhYpAwNLANwZlL+D91efsL00O96UvfSlKogr3xBNP5Pw34ttvv11XV+cLbVLaL3/5y/Pnz5c8d+utt+a8N19GWFkme0cyc2Rk5ODBg88++yyjMJBAqVTKOVsfe+yxoGUWLVoUMp68++67s1dcoFg5L8cqVVg9Dxw4UDstnU4XtGLOFv3JT37iHZ6yv3UmiPtjYUEkDN18883eHz0sherqaklaS5YsueOOOzZs2BBxLclnPT09BR09ACXl/fqYgYGBoMXq6+tDTu3//Oc/s1lmoDhVBKwEOnbsWGtr66fT2tra5GH0dYNa1H1bPtsNN9zwwx/+8Bvf+IYkGHnhKEs+/PDDW7du9b7v5TV//vw33njDt30Z8v70pz/997//lWcjBqDZ4X17TKa/8pWvRM+XAGZidHR0/fr18kIxlUrJyzDfe9UhK3772992ltm2bds//vEPyVtzpslgdfTo0VkrPzAT4Z1ck0qqp6Sr06dPO9MysXbt2ujrhrToTTfdVHRMaW5ujv62/NDQ0JkzZzKZzNWrVyP+h1GGzsWLF3/3u98ttGDuqF3qd9EAxOj6668PGUM+/PBDGQb37dsXdBc8kHxVBKwEqqmpmZycdKZlQh5GXzekRf/2t78VPRq+8847RVfnz3/+s8QsCUBO2JKB9f7775fXtfIi9Te/+U3InVKSz26//fact9XPnz9fquO7PeuJJ54ouoIAZtPbb79d9JACVIQqAlYC+Vol+1duwkeu8I2fPHlywYIFzvcpBP0T0EvyzV133ZWQz0hLojpz5szIyEiUhR988EEnnMlf5z8UcVwXABRPTsZbbrnl/PnzpR4rgLKrImAlUInewYLr0qVLhw4d2r59+/e///1t0/7vc48++qjzV551pt352z/nrOJMeFdx/3pXkQlnyaB9dXZ2vvDCC3v27PGtUsS+3FVkTt56BRWv0H15Vyl0X9mrRN+Xb5Ui9jVrTRxUPMVNvGPHjueff15OtHKf60DZ2LkcV1I9ffdgycPo69ppUQAAEsvO5biS6ul8inBsbCzGTxECAIBZY+dyXGH1TKfTMX4PFgAAmE12Lsea6+m7jbTcxQEAwDo7l2Mz9TTTogAAJJady7GZepppUQAAEsvO5dhMPQEAQAKUOxHMEiv1nIqcmuNdLPkbVFOR2DdIRdRvkIqo3yAVqdwNKmClnlN094TtN/kbpCLqN0hF1G+QilTuBhWwUs8punvC9pv8DVIR9RukIuo3SEUqd4MKWKnnFN09YftN/gapiPoNUhH1G6QilbtBBazUc8pSo5pFE6tHE6tHE6tnp4mt1HPKUqOaRROrRxOrRxOrZ6eJrdRzylKjmkUTq0cTq0cTq2enia3Uc8pSo5pFE6tHE6tHE6tnp4mt1HPKUqOaRROrRxOrRxOrZ6eJrdQTAABg1hCwAAAAYkbAAgAAiBkBCwAAIGYELAAAgJgRsAAAAGJGwAIAAIhZBQesAwcO1E5Lp9NR5se1LmZN1ee8M0+dOrVu3brq6uq6urrOzs6xsbGc69LEFYGzWD3OYvU4i4NUasA6duxYa2vrp9Pa2trkYfj8uNbF7PMNzZs2bTp58uTk5GQmk3nyySdlmM5ehSauCJzFdnAWa8VZHKJSA5Yc/dOnTzvTMrF27drw+VOeM7yIdVFGIV/7KwN0KpXKXpImrgicxXZwFmvFWRyiUgNWTU2NnJbOtEzIw/D5U55GLWJdlFHI0NzX1+d97UsTVxbOYjs4i7XiLA5RqQHLd7q6L4CC5se1LmZf0NA8ODi4cuXKkZGRvKvQxMnEWWwHZ7FWnMUhKjVgzST5qk/NyuQcmvv7+5ctWzYwMJBzFZq4InAW28FZrBVncYhKDVi+/9HKw/D5ca2L2Zc9NPf29jY1NZ09ezZoFZq4InAW28FZrBVncYhKDVjOpwzGxsZyfvoge/6U5wwvYl2UkW9o7unpaWxsPHfuXMiSNHFF4Cy2g7NYK87iEJUasEQ6nc75PRlB871neKHroiyqvijnTG+z0sQVh7NYPc5i9TiLg1RwwAIAAEgmAhYAAEDMCFgAAAAxI2ABAADErFIDVshvhQb9SGTO3xydmv6mu/Xr19fU1DQ2Nr766qtBewxaPeJvUuZcXWrR1tbm1GLnzp0XL14MrzWgiY6z2HH58uWlS5cGfZ0moJWOszjoIxczVKnDQdBvheb9kUjfsTt37lxzc3NfX59sSnrG3r17w/frW73Q36T0rb5hw4YTJ05MTEzI3o8cObJmzZrw1QFNdJzFjqeeeurQoUMELFij4ywu0ZmrYTjw/lZo3h+J9B3Hjo6OkKSczbd6ob9JGd6K8iIgekkATSr6LB4aGpJrg7xSImDBsso9iwlYgby/FZr3K/Z9x7G+vv7o0aNLliyRcPPII49cvnw5fF++1Qv9Rv+gVpR1X3zxRXkpEL46oFVFn8WbN29+/fXXcz4F2FG5Z7E8lAJIOly+fPnBgwfD142u4ocD32+F+o5a9o9EZh/WXbt2Xbt2LZPJ7N69e/v27eG7C4+9eX+TMuf46/zTd/HixcPDw+GrAypV9Fnc399/33335XwKsKOiz2LX0NDQxo0bu7u7w1ePqLKHg+zfCi00NcsC0pzOtDSt+0+6oJvdIqbmiKu7ZN3Dhw+7wzRgR6WfxS0tLe+//37OpwAjKv0s9hofH6+trQ16tiAVPBzk/K3QvD8S6TusbW1t3kYt9H3FQn+TMnz8zRu6AWUUnMVVWcJXB5RRcBZ7EbACfys0749E+g7rq6++unv37sy0Xbt27dy5M3y/OT+5EP03KX2rd3V1nT9/fmq6RdPpdOX+ZjhQBB1nccSnAJV0nMUdHR3OLTqjo6Pt7e1yaQ5fPaJKHQ5CXjWG/MBkzuUPHjy4cOHC6urqbdu2hdxYV+juoqwuwb+lpUUeSgF83yACqKfjLPYtEKXigBo6zmL3WtzQ0NDd3e2+lzZDDAcAAAAxI2ABAADEjIAFAAAQMwIWAABAzAhYAAAAMSNgAQAAxIyABQAAEDMCFgAAQMwIWAAAADEjYAEAAMSMgAUAABAzAhYAAEDMCFgAAAAxI2ABAADEjIAFAAAQMwIWAABAzAhYAAAAMSNgAQAAxIyABQAAEDMCFgAAQMwIWAAAADEjYAEAAMSMgAUAABAzAhYAAEDMCFgAAAAxI2ABAADE7P8B0mchWmul/RAAAAAASUVORK5CYII=)
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